The present investigation was carried out to find out the contribution of income in improving the livelihood of tribal goat farmers in the Kandhamal district of Odisha which was purposively selected as this district is highly concentrated with local goats. The sample of 112 goat farmers for this study was selected randomly from sixteen villages which were also selected from four randomly selected blocks of the district. With the help of the pre-tested interview schedule, the data for the study was collected personally by the researcher. The study employed ex-post facto research design and focussed group discussion to capture field data. Economic impact a component of overall livelihood impact was measured with the help of 10 validated statements in a five-point Likert type scale with scores on a continuum with 1(strongly disagree) to 5 (strongly agree) for each of the statement. The study revealed that the farmers’ personal savings, ability to spend money for children education, food, clothing and meeting medical expenses have increased due to goat farming. However, the overall economic impact is medium in nature indicating that the important stakeholders including government agencies involved in promotion of goat farming in the tribal areas should put emphasis on improving the business ability of the famers which will be useful in improving the income level leading to strengthening of livelihood.
{"title":"Impact of Income on Livelihood of Tribal Goat Farmers of Odisha, India","authors":"Bhabesh Chandra Das, Abinash Sahoo, Suman Sant, Birendra Pratap Singh, Rajesh Kumar Vandre","doi":"10.9734/jsrr/2024/v30i72175","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72175","url":null,"abstract":"The present investigation was carried out to find out the contribution of income in improving the livelihood of tribal goat farmers in the Kandhamal district of Odisha which was purposively selected as this district is highly concentrated with local goats. The sample of 112 goat farmers for this study was selected randomly from sixteen villages which were also selected from four randomly selected blocks of the district. With the help of the pre-tested interview schedule, the data for the study was collected personally by the researcher. The study employed ex-post facto research design and focussed group discussion to capture field data. Economic impact a component of overall livelihood impact was measured with the help of 10 validated statements in a five-point Likert type scale with scores on a continuum with 1(strongly disagree) to 5 (strongly agree) for each of the statement. The study revealed that the farmers’ personal savings, ability to spend money for children education, food, clothing and meeting medical expenses have increased due to goat farming. However, the overall economic impact is medium in nature indicating that the important stakeholders including government agencies involved in promotion of goat farming in the tribal areas should put emphasis on improving the business ability of the famers which will be useful in improving the income level leading to strengthening of livelihood.","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"25 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/jsrr/2024/v30i72176
M. S. Sultana, B. Z. Reshma, M. K. Hasnat, M. H. Kabir
Milk production among the dairy farms is one of the important sources of income for the farmers. However, many reasons may influence milk production. In this aspect, the objective of the study was to assess the determinants or factors influence milk production in the dairy farm of Savar sub-district under Dhaka district of Bangladesh. A sample of 218 dairy farmers was randomly selected for data collection. The survey was conducted using a pre-tested structured interview schedule among the respondents. The data was analyzed using percentage, mean, frequency, standard deviation, and regression analysis. Majority of the farmers (96.8%) had up to 70 liters of milk production in their farm with an average of 18 liters. The statistical analysis showed that credit, total cow, milking cow, and livestock income significantly influences on the amount of milk produced in the farm. The Department of Livestock Service (DLS) and other related Non-Government Organizations (NGOs) may arrange more livestock income related programs for the dairy farmers focused on milk. Initiative like providing credit facilities either interest free or lower rate of interest to purchase milking cow may help the farmers to improve their livelihood through more milk production.
{"title":"Factors Influencing Milk Production among the Dairy Farms of Savar Sub-District, Dhaka, Bangladesh","authors":"M. S. Sultana, B. Z. Reshma, M. K. Hasnat, M. H. Kabir","doi":"10.9734/jsrr/2024/v30i72176","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72176","url":null,"abstract":"Milk production among the dairy farms is one of the important sources of income for the farmers. However, many reasons may influence milk production. In this aspect, the objective of the study was to assess the determinants or factors influence milk production in the dairy farm of Savar sub-district under Dhaka district of Bangladesh. A sample of 218 dairy farmers was randomly selected for data collection. The survey was conducted using a pre-tested structured interview schedule among the respondents. The data was analyzed using percentage, mean, frequency, standard deviation, and regression analysis. Majority of the farmers (96.8%) had up to 70 liters of milk production in their farm with an average of 18 liters. The statistical analysis showed that credit, total cow, milking cow, and livestock income significantly influences on the amount of milk produced in the farm. The Department of Livestock Service (DLS) and other related Non-Government Organizations (NGOs) may arrange more livestock income related programs for the dairy farmers focused on milk. Initiative like providing credit facilities either interest free or lower rate of interest to purchase milking cow may help the farmers to improve their livelihood through more milk production.","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"113 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/jsrr/2024/v30i72181
Sneha Kumari, N. Swaroop, T. Thomas, S. Mohanta, Ashima Thomas
We experimented in the field at the central research farm of the Department of Soil Science and Agricultural Chemistry, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj during Rabi season of 2022-23. The soil in the experimental area was characterized by a sandy loam texture. There were 27unit plots in total, with each plot sized at 2 X 2 m. We used a randomized block design, incorporating different levels of NPK (80:40:40), vermicompost, and two levels of sulfur (50% and 100%). The T9 (STCR+ 5t ha-1 Vermicompost+ 100% S) demonstrated that although there was a slight decrease in pH, bulk density, and particle density, there was a significant (P<0.05) increase in pore space, water holding capacity, electrical conductivity (EC), organic carbon, and the availability of nitrogen, phosphorus, and potassium. Improvements were observed in plant growth and yield attributes, which showed the best results in terms of plant height, number of siliquae per plant, and total mustard yield compared to the control conditions. However, the use of organic manures and their combination with a full NPK treatment significantly enhanced the growth and overall yield attributes of mustard.
{"title":"Soil Test Crop Response Concerning Soil Properties and Yield Attributes of Mustard (Brassica juncea L.) var. Krishna","authors":"Sneha Kumari, N. Swaroop, T. Thomas, S. Mohanta, Ashima Thomas","doi":"10.9734/jsrr/2024/v30i72181","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72181","url":null,"abstract":"We experimented in the field at the central research farm of the Department of Soil Science and Agricultural Chemistry, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj during Rabi season of 2022-23. The soil in the experimental area was characterized by a sandy loam texture. There were 27unit plots in total, with each plot sized at 2 X 2 m. We used a randomized block design, incorporating different levels of NPK (80:40:40), vermicompost, and two levels of sulfur (50% and 100%). The T9 (STCR+ 5t ha-1 Vermicompost+ 100% S) demonstrated that although there was a slight decrease in pH, bulk density, and particle density, there was a significant (P<0.05) increase in pore space, water holding capacity, electrical conductivity (EC), organic carbon, and the availability of nitrogen, phosphorus, and potassium. Improvements were observed in plant growth and yield attributes, which showed the best results in terms of plant height, number of siliquae per plant, and total mustard yield compared to the control conditions. However, the use of organic manures and their combination with a full NPK treatment significantly enhanced the growth and overall yield attributes of mustard. ","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"58 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/jsrr/2024/v30i72177
Rajasekar, Ajay Kumar, Akilan M, Nirmalaruban R
The genetic diversity among the genotypes were useful resources that enabled breeders to comprehend the performance of attributes or genotypes. This understanding is crucial in selecting appropriate genotypes or traits for hybridization programmes. A total of 15 sweet corn genotypes were utilized to assess the characteristics of genetic diversity, correlation, path coefficient and genetic divergence study. The phenotypic coefficient of variation (PCV) exceeded the genotypic coefficient of variation (GCV) for all the traits examined, suggesting certain degree of interaction with the environment. The heritability estimates for all variables examined in this study were found to be high. The genetic advance as per cent of mean (GAM) identified a significant difference between high and low values. The traits ear weight with husk, ear weight without husk, husk ratio, chlorophyll content, ear length, ear girth, number of rows per ear, number of kernels per row, 100 kernel weight, shelling percentage, cob yield per plot and fodder yield per plot exhibited high heritability and high GAM. Furthermore, the correlation analysis revealed a significant and positive association for the aforementioned attributes. Additionally, the path coefficient analysis for these traits indicated a favourable direct influence. A total of 15 genotypes were categorized into seven clusters based on their genetic distance. The features that made the biggest contribution to divergence were fodder yield per plot (21%) and shelling percentage (21%), followed by ear weight (14%) and cob yield per plot (10%). The results of this study would be valuable for identifying the desirable characteristics and genetic makeup that can be used in future breeding programmes aimed at enhancing the production of corn cobs in sweet corn.
{"title":"Morphological Characterization and Genetic Diversity Analyses of Yield and Yield Attributing Traits in Sweet Corn (Zea mays var. saccharata)","authors":"Rajasekar, Ajay Kumar, Akilan M, Nirmalaruban R","doi":"10.9734/jsrr/2024/v30i72177","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72177","url":null,"abstract":"The genetic diversity among the genotypes were useful resources that enabled breeders to comprehend the performance of attributes or genotypes. This understanding is crucial in selecting appropriate genotypes or traits for hybridization programmes. A total of 15 sweet corn genotypes were utilized to assess the characteristics of genetic diversity, correlation, path coefficient and genetic divergence study. The phenotypic coefficient of variation (PCV) exceeded the genotypic coefficient of variation (GCV) for all the traits examined, suggesting certain degree of interaction with the environment. The heritability estimates for all variables examined in this study were found to be high. The genetic advance as per cent of mean (GAM) identified a significant difference between high and low values. The traits ear weight with husk, ear weight without husk, husk ratio, chlorophyll content, ear length, ear girth, number of rows per ear, number of kernels per row, 100 kernel weight, shelling percentage, cob yield per plot and fodder yield per plot exhibited high heritability and high GAM. Furthermore, the correlation analysis revealed a significant and positive association for the aforementioned attributes. Additionally, the path coefficient analysis for these traits indicated a favourable direct influence. A total of 15 genotypes were categorized into seven clusters based on their genetic distance. The features that made the biggest contribution to divergence were fodder yield per plot (21%) and shelling percentage (21%), followed by ear weight (14%) and cob yield per plot (10%). The results of this study would be valuable for identifying the desirable characteristics and genetic makeup that can be used in future breeding programmes aimed at enhancing the production of corn cobs in sweet corn.","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"52 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/jsrr/2024/v30i72182
Satinder Kaur Khattra, Nikita Singh, Ritu Dogra
India is the world's most populous country and plays a crucial role in achieving the United Nations' Sustainable Development Goals by 2030. SDG No. 7 (affordable and clean energy) and climate change reduction goals are essential for sustainable development. This review discusses clean energy potential, obstacles and stimulants, and renewable energy policies in India, focusing on solar and biomass resources. With biomass resources, the nation can generate 130 million tonnes of oil equivalent annually, and it can generate 5,000 trillion kWh of solar energy annually. For the production of renewable energy, biomass resources such as Jatropha, sweet sorghum, cassava, rice, coconut, and agricultural leftovers can be employed. The purpose of this review is to highlight the benefits of using bioenergy to achieve a sustainable energy future through financial incentives, enhanced research, public awareness, social amenities, strategic replenishment, and productive intergovernmental collaborations. Solar thermal and photovoltaic systems offer great possibilities for grid-connected, off-grid, and hybrid installations. Site-specific considerations such as incentives, financing, research, public awareness, government regulations, and private investments influence the techno-economic viability and environmental relevance of solar power and bioenergy for India's sustainable development.
{"title":"Biomass-Solar Energy: A Comprehensive Review of Sustainable Energy Generation","authors":"Satinder Kaur Khattra, Nikita Singh, Ritu Dogra","doi":"10.9734/jsrr/2024/v30i72182","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72182","url":null,"abstract":"India is the world's most populous country and plays a crucial role in achieving the United Nations' Sustainable Development Goals by 2030. SDG No. 7 (affordable and clean energy) and climate change reduction goals are essential for sustainable development. This review discusses clean energy potential, obstacles and stimulants, and renewable energy policies in India, focusing on solar and biomass resources. With biomass resources, the nation can generate 130 million tonnes of oil equivalent annually, and it can generate 5,000 trillion kWh of solar energy annually. For the production of renewable energy, biomass resources such as Jatropha, sweet sorghum, cassava, rice, coconut, and agricultural leftovers can be employed. The purpose of this review is to highlight the benefits of using bioenergy to achieve a sustainable energy future through financial incentives, enhanced research, public awareness, social amenities, strategic replenishment, and productive intergovernmental collaborations. Solar thermal and photovoltaic systems offer great possibilities for grid-connected, off-grid, and hybrid installations. Site-specific considerations such as incentives, financing, research, public awareness, government regulations, and private investments influence the techno-economic viability and environmental relevance of solar power and bioenergy for India's sustainable development.","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"22 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/jsrr/2024/v30i72178
Chethan T, Sreejith Vakayil, Vijay R, Nandini S N, Arshad Khayum, Chaitra. K, Chethan Kumar K B, C. Venkatesh
Insects play a pivotal role in agriculture, acting both as beneficial pollinators and as destructive pests. Pollinators, such as bees, butterflies, and other insects, are essential for the successful reproduction of many crops, enhancing biodiversity and contributing significantly to global food production. Conversely, insect pests pose substantial threats to agricultural productivity by damaging crops, leading to economic losses and increased reliance on chemical pesticides. This duality underscores the complex interplay between insects and agricultural systems, necessitating integrated pest management strategies that balance the promotion of pollinators and the control of pests. Understanding and managing these dual roles are crucial for sustainable agricultural practices, ensuring food security while maintaining ecological balance.
{"title":"From Pollinators to Pests: The Dual Roles of Insects in Shaping Agricultural Landscapes","authors":"Chethan T, Sreejith Vakayil, Vijay R, Nandini S N, Arshad Khayum, Chaitra. K, Chethan Kumar K B, C. Venkatesh","doi":"10.9734/jsrr/2024/v30i72178","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72178","url":null,"abstract":"Insects play a pivotal role in agriculture, acting both as beneficial pollinators and as destructive pests. Pollinators, such as bees, butterflies, and other insects, are essential for the successful reproduction of many crops, enhancing biodiversity and contributing significantly to global food production. Conversely, insect pests pose substantial threats to agricultural productivity by damaging crops, leading to economic losses and increased reliance on chemical pesticides. This duality underscores the complex interplay between insects and agricultural systems, necessitating integrated pest management strategies that balance the promotion of pollinators and the control of pests. Understanding and managing these dual roles are crucial for sustainable agricultural practices, ensuring food security while maintaining ecological balance.","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Precision agriculture (PA) technologies have spearheaded a revolution in contemporary farming practices, ushering in an era of sustainability, efficiency, and data-driven agricultural production. This comprehensive examination aims to delve deeply into the intricate dynamics surrounding the adoption of precision agriculture technologies among farmers, synthesizing existing literature, identifying key determinants, barriers, and implications. The adoption of precision agriculture technologies is influenced by a myriad of factors spanning socio-economic, institutional, technological, psychological, and attitudinal dimensions. Socio-economic factors such as farm size, income level, access to credit, and demographic characteristics are pivotal in shaping farmers' decisions to adopt PA technologies. Institutional factors, including government policies, extension services, market structures, and support networks, also wield significant influence over adoption patterns. Technological considerations, such as the complexity, compatibility, and perceived benefits of precision agriculture technologies, impact farmers' adoption decisions. Moreover, psychological factors such as risk perception, innovativeness, and attitudes towards change contribute to shaping farmers' willingness to embrace new technologies. The adoption of precision agriculture technologies holds immense promise for enhancing farm productivity, sustainability, and profitability. By enabling precise management of inputs such as water, fertilizers, pesticides, and seeds, PA technologies help optimize resource use, minimize environmental impact, and maximize yield potential. Furthermore, the integration of advanced data analytics, remote sensing, and IoT (Internet of Things) devices facilitates real-time monitoring, decision-making, and predictive analytics, empowering farmers with actionable insights for improved farm management. However, despite the compelling benefits, the adoption of precision agriculture technologies faces several barriers and challenges. High initial investment costs, limited access to capital, inadequate infrastructure, and technical knowledge gaps pose significant hurdles for farmers, particularly those operating in resource-constrained settings. Concerns regarding data privacy, security, and ownership also contribute to farmers' apprehensions about adopting PA technologies, raising questions about data governance and regulatory frameworks. To overcome these barriers and promote the widespread adoption of precision agriculture technologies, concerted efforts are needed from various stakeholders. Farmer education and training programs play a crucial role in enhancing digital literacy, technical skills, and awareness about the potential benefits of PA technologies. Government policies and incentives, including subsidies, grants, and tax incentives, can help alleviate financial barriers and incentivize adoption. Moreover, collaboration between researchers, industry
精准农业（PA）技术引领了当代农业实践的一场革命，开创了一个可持续、高效和数据驱动的农业生产时代。本研究旨在深入探讨农民采用精准农业技术的复杂动态，综合现有文献，确定关键的决定因素、障碍和影响。精准农业技术的采用受社会经济、制度、技术、心理和态度等多方面因素的影响。社会经济因素，如农场规模、收入水平、获得信贷的机会和人口特征，是影响农民决定是否采用精准农业技术的关键因素。制度因素，包括政府政策、推广服务、市场结构和支持网络，也对采用模式产生重大影响。技术因素，如精准农业技术的复杂性、兼容性和可感知的益处，也会影响农民的采用决策。此外，风险意识、创新能力和对变革的态度等心理因素也会影响农民采用新技术的意愿。采用精准农业技术为提高农业生产率、可持续性和盈利能力带来了巨大希望。通过实现对水、肥料、农药和种子等投入品的精确管理，精准农业技术有助于优化资源利用，最大限度地减少对环境的影响，并最大限度地挖掘增产潜力。此外，先进的数据分析、遥感和 IoT（物联网）设备的集成有助于实时监控、决策和预测分析，使农民能够获得改善农场管理的可行见解。然而，尽管精准农业技术具有令人瞩目的优势，但其应用仍面临着一些障碍和挑战。高昂的初始投资成本、有限的资本获取途径、不完善的基础设施以及技术知识差距，这些都给农民，尤其是那些在资源有限环境中工作的农民带来了巨大障碍。对数据隐私、安全和所有权的担忧也导致农民对采用 PA 技术心存顾虑，并引发了有关数据管理和监管框架的问题。为了克服这些障碍，促进精准农业技术的广泛应用，需要各利益相关方共同努力。农民教育和培训计划在提高数字素养、技术技能以及对精准农业技术潜在益处的认识方面发挥着至关重要的作用。政府政策和激励措施，包括补贴、赠款和税收优惠，可以帮助减轻资金障碍，激励采用。此外，研究人员、行业利益相关者和政策制定者之间的合作对于推动技术创新、开发用户友好型解决方案和应对新出现的挑战至关重要。对农村宽带连接和传感器网络等基础设施的投资也是当务之急，以确保精准农业技术在不同农耕环境中的无缝集成和可扩展性。
{"title":"Adoption of Precision Agriculture Technologies among Farmers: A Comprehensive Review","authors":"Garima Khaspuria, Aarushi Khandelwal, Mahima Agarwal, M. Bafna, Rupesh Yadav, Abhishek Yadav","doi":"10.9734/jsrr/2024/v30i72180","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72180","url":null,"abstract":"Precision agriculture (PA) technologies have spearheaded a revolution in contemporary farming practices, ushering in an era of sustainability, efficiency, and data-driven agricultural production. This comprehensive examination aims to delve deeply into the intricate dynamics surrounding the adoption of precision agriculture technologies among farmers, synthesizing existing literature, identifying key determinants, barriers, and implications. \u0000The adoption of precision agriculture technologies is influenced by a myriad of factors spanning socio-economic, institutional, technological, psychological, and attitudinal dimensions. Socio-economic factors such as farm size, income level, access to credit, and demographic characteristics are pivotal in shaping farmers' decisions to adopt PA technologies. Institutional factors, including government policies, extension services, market structures, and support networks, also wield significant influence over adoption patterns. \u0000Technological considerations, such as the complexity, compatibility, and perceived benefits of precision agriculture technologies, impact farmers' adoption decisions. Moreover, psychological factors such as risk perception, innovativeness, and attitudes towards change contribute to shaping farmers' willingness to embrace new technologies. \u0000The adoption of precision agriculture technologies holds immense promise for enhancing farm productivity, sustainability, and profitability. By enabling precise management of inputs such as water, fertilizers, pesticides, and seeds, PA technologies help optimize resource use, minimize environmental impact, and maximize yield potential. Furthermore, the integration of advanced data analytics, remote sensing, and IoT (Internet of Things) devices facilitates real-time monitoring, decision-making, and predictive analytics, empowering farmers with actionable insights for improved farm management. \u0000However, despite the compelling benefits, the adoption of precision agriculture technologies faces several barriers and challenges. High initial investment costs, limited access to capital, inadequate infrastructure, and technical knowledge gaps pose significant hurdles for farmers, particularly those operating in resource-constrained settings. Concerns regarding data privacy, security, and ownership also contribute to farmers' apprehensions about adopting PA technologies, raising questions about data governance and regulatory frameworks. \u0000To overcome these barriers and promote the widespread adoption of precision agriculture technologies, concerted efforts are needed from various stakeholders. Farmer education and training programs play a crucial role in enhancing digital literacy, technical skills, and awareness about the potential benefits of PA technologies. Government policies and incentives, including subsidies, grants, and tax incentives, can help alleviate financial barriers and incentivize adoption. \u0000Moreover, collaboration between researchers, industry","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"9 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/jsrr/2024/v30i72172
Sandeep Saharan, Anju Poonia, Amit Kumar, Deepak Kumar Tiwari, B. Jangir, Maneesh Sharma
The purpose of this study is to present an intra-abdominal fibrosarcoma in a canine and its histopathological findings. An eight years old female german shepherd was brought to department of Veterinary Clinical Complex, LUVAS, Hisar. The dog was anorectic with dull and depressed condition. Physical examination showed pale mucous membranes and distended abdomen. There was decrease in haemoglobin progressively. On Palpation of the abdomen a painless mass of hard consistency and irregular surface was felt. Serum biochemical abnormalities included increased SGOT, SGPT and alkaline phosphatise but plasma total protein, globulin and albumin was within normal range. The case was diagnosed with the help of radiography and ultrasonography. Thus, an exploratory laparotomy was performed, identifying a multinodular mass in the omentum and mesentery attached to a portion of the stomach and small intestine. An eight kilogram firm mass with irregular surface and great vascularisation was excised. On histopathology, the tumourous mass was found to be fibrosarcoma characterized by spindle shaped neoplastic cells arranged in interwoven pattern and presence of mitotic figures.
{"title":"A Rare Case Report of Intrabdominal Fibrosarcoma in a German Shepherd Dog","authors":"Sandeep Saharan, Anju Poonia, Amit Kumar, Deepak Kumar Tiwari, B. Jangir, Maneesh Sharma","doi":"10.9734/jsrr/2024/v30i72172","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72172","url":null,"abstract":"The purpose of this study is to present an intra-abdominal fibrosarcoma in a canine and its histopathological findings. An eight years old female german shepherd was brought to department of Veterinary Clinical Complex, LUVAS, Hisar. The dog was anorectic with dull and depressed condition. Physical examination showed pale mucous membranes and distended abdomen. There was decrease in haemoglobin progressively. On Palpation of the abdomen a painless mass of hard consistency and irregular surface was felt. Serum biochemical abnormalities included increased SGOT, SGPT and alkaline phosphatise but plasma total protein, globulin and albumin was within normal range. The case was diagnosed with the help of radiography and ultrasonography. Thus, an exploratory laparotomy was performed, identifying a multinodular mass in the omentum and mesentery attached to a portion of the stomach and small intestine. An eight kilogram firm mass with irregular surface and great vascularisation was excised. On histopathology, the tumourous mass was found to be fibrosarcoma characterized by spindle shaped neoplastic cells arranged in interwoven pattern and presence of mitotic figures.","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"23 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141713017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/jsrr/2024/v30i72171
Chilka Vandhana Varsha, Rajesh Singh, Alisha Peter
A Field experiment was conducted during Zaid season of 2023 at Crop Research Farm Department of Agronomy. The objective of this study is to asses the influence of sulphur and zinc on yield attritibutes of baby corn and to evaluate the economics of different treatment combinations taken. The treatments consisted of 3 levels of Sulphur viz., (15, 30 and 45 kg/ha) and 3 levels of Zinc viz., (10, 20 and 30 kg/ha) along with recommended doses of nitrogen, phosphorus and potash as control (60- 60-40 kg N-P-K/ha). The experiment was laid out in a Randomized Block Design with 10 treatments and replication thrice. Application of Sulphur 45 kg/ha along with Zinc 30 kg/ha (Treatment 9) recorded maximum cob yield with husk (10.6 t/ha), cob yield without husk (3.91 t/ha), green fodder yield (28.43 t/ha). The aforesaid treatment also recorded maximum gross returns (1,43,144.00 INR/ha), net returns (955,19.00 INR/ha) and Benefit cost ratio (2.01).
{"title":"Influence of Sulphur and Zinc on Yield, Yield Attributes and Economics of Baby Corn (Zea mays L.)","authors":"Chilka Vandhana Varsha, Rajesh Singh, Alisha Peter","doi":"10.9734/jsrr/2024/v30i72171","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72171","url":null,"abstract":"A Field experiment was conducted during Zaid season of 2023 at Crop Research Farm Department of Agronomy. The objective of this study is to asses the influence of sulphur and zinc on yield attritibutes of baby corn and to evaluate the economics of different treatment combinations taken. The treatments consisted of 3 levels of Sulphur viz., (15, 30 and 45 kg/ha) and 3 levels of Zinc viz., (10, 20 and 30 kg/ha) along with recommended doses of nitrogen, phosphorus and potash as control (60- 60-40 kg N-P-K/ha). The experiment was laid out in a Randomized Block Design with 10 treatments and replication thrice. Application of Sulphur 45 kg/ha along with Zinc 30 kg/ha (Treatment 9) recorded maximum cob yield with husk (10.6 t/ha), cob yield without husk (3.91 t/ha), green fodder yield (28.43 t/ha). The aforesaid treatment also recorded maximum gross returns (1,43,144.00 INR/ha), net returns (955,19.00 INR/ha) and Benefit cost ratio (2.01).","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"2004 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141707015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/jsrr/2024/v30i72170
Sambuddha Mukherjee, Sanjay Kumar
Agriculture is the skeleton of Indian Economy and the stabilising point of social structure and economical skeleton of the country. Apart from providing National Income, ensuring food security or generating employment, Agriculture is the main stay behind the cultural commonality and the economic homogeneity of the society. The present study on betel vines was executed in Taldangra Block of Bankura district, West Bengal. The study area was chosen through purposive sampling due to dominance of commercial betel vines. Sampling was also done following the principle of convenient sampling as the study area is earlierly known to the researchers. To minimise the recall biases a personal rapport was established with the farmers before surveying & data collection. Study was conducted in Agricultural year 2023-24 by Primary data collection from 120 farmers of seven randomly selected villages. The study assessed the constraints faced by the farmers in the production and marketing of betel leaves growing and how much they have been affected by these problems. Primary data were individually taken to assess the intensity of problems at individual level, through a semi-structured and pretested schedule, employing Participatory Rural Appraisal (PRA) as per requirement. The result indicated that four major production constraints are unavailability of timely credit, yield loss due to climatic variability, high fixed Cost (mainly for establishment of orchard), lack of proper training and extension activities and major marketing constraints are higher degree of price fluctuation, middlemen involvement, lack of export services, lack of definite price policy. Other associated constraints are labour unavailability during harvest, unavailability of good planting materials, storage unavailability, leaves damage during transportation, lack of market information. Major suggestions received from the farmers regarding alleviation of these constraints are arrangement for govt. subsidy and proper training and extension programmes, direct connection with buyers for lowering middlemen frequency and interference which unnecessarily increases the price, construction of storage house for storing betel leaves to reduce post-harvest loss.
{"title":"Evaluation of the Constraints Perceived by Farmers in Production and Marketing of Betel Vines in Bankura District of West Bengal, India","authors":"Sambuddha Mukherjee, Sanjay Kumar","doi":"10.9734/jsrr/2024/v30i72170","DOIUrl":"https://doi.org/10.9734/jsrr/2024/v30i72170","url":null,"abstract":"Agriculture is the skeleton of Indian Economy and the stabilising point of social structure and economical skeleton of the country. Apart from providing National Income, ensuring food security or generating employment, Agriculture is the main stay behind the cultural commonality and the economic homogeneity of the society. The present study on betel vines was executed in Taldangra Block of Bankura district, West Bengal. The study area was chosen through purposive sampling due to dominance of commercial betel vines. Sampling was also done following the principle of convenient sampling as the study area is earlierly known to the researchers. To minimise the recall biases a personal rapport was established with the farmers before surveying & data collection. Study was conducted in Agricultural year 2023-24 by Primary data collection from 120 farmers of seven randomly selected villages. The study assessed the constraints faced by the farmers in the production and marketing of betel leaves growing and how much they have been affected by these problems. Primary data were individually taken to assess the intensity of problems at individual level, through a semi-structured and pretested schedule, employing Participatory Rural Appraisal (PRA) as per requirement. The result indicated that four major production constraints are unavailability of timely credit, yield loss due to climatic variability, high fixed Cost (mainly for establishment of orchard), lack of proper training and extension activities and major marketing constraints are higher degree of price fluctuation, middlemen involvement, lack of export services, lack of definite price policy. Other associated constraints are labour unavailability during harvest, unavailability of good planting materials, storage unavailability, leaves damage during transportation, lack of market information. Major suggestions received from the farmers regarding alleviation of these constraints are arrangement for govt. subsidy and proper training and extension programmes, direct connection with buyers for lowering middlemen frequency and interference which unnecessarily increases the price, construction of storage house for storing betel leaves to reduce post-harvest loss.","PeriodicalId":16985,"journal":{"name":"Journal of Scientific Research and Reports","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141709512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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