Pub Date : 2015-07-10DOI: 10.1109/TIAR.2015.7358541
V. H. Ram, H. Vishal, S. Dhanalakshmi, P. Vidya
Indian agriculture is diverse; ranging from impoverished farm villages to developed farms utilizing modern agricultural technologies. Facility agriculture area in China is expanding, and is leading the world. However, its ecosystem control technology and system is still immature, with low level of intelligence. Promoting application of modern information technology in agriculture will solve a series of problems facing by farmers. Lack of exact information and communication leadsto the loss in production. Our paper is designed to over come these problems. This regulator provides an intelligent monitoring platform framework and system structure for facility agriculture ecosystem based on IOT[3]. This will be a catalyst for the transition from traditional farming to modern farming. This also provides opportunity for creating new technology and service development in IOT (internet of things) farming application. The Internet Of Things makes everything connected. Over 50 years since independence, India has made immense progress towards food productivity. The Indian population has tripled, but food grain production more than quadrupled[1]: there has thus been a substantial increase in available food grain per ca-pita. Modern agriculture practices have a great promise for the economic development of a nation. So we have brought-in an innovative project for the welfare of farmers and also for the farms. There are no day or night restrictions. This is helpful at any time.
{"title":"Regulation of water in agriculture field using Internet Of Things","authors":"V. H. Ram, H. Vishal, S. Dhanalakshmi, P. Vidya","doi":"10.1109/TIAR.2015.7358541","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358541","url":null,"abstract":"Indian agriculture is diverse; ranging from impoverished farm villages to developed farms utilizing modern agricultural technologies. Facility agriculture area in China is expanding, and is leading the world. However, its ecosystem control technology and system is still immature, with low level of intelligence. Promoting application of modern information technology in agriculture will solve a series of problems facing by farmers. Lack of exact information and communication leadsto the loss in production. Our paper is designed to over come these problems. This regulator provides an intelligent monitoring platform framework and system structure for facility agriculture ecosystem based on IOT[3]. This will be a catalyst for the transition from traditional farming to modern farming. This also provides opportunity for creating new technology and service development in IOT (internet of things) farming application. The Internet Of Things makes everything connected. Over 50 years since independence, India has made immense progress towards food productivity. The Indian population has tripled, but food grain production more than quadrupled[1]: there has thus been a substantial increase in available food grain per ca-pita. Modern agriculture practices have a great promise for the economic development of a nation. So we have brought-in an innovative project for the welfare of farmers and also for the farms. There are no day or night restrictions. This is helpful at any time.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400754","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358553
R. Vignesh, K. Kamini, B. Chinthamani, M. Senthilarasan
In this work, the automation of effluent treatment plant is designed in order to treat the effluent water before its discharge. The waste water is treated so that it does not affect the environment because waste water consist of many toxic substance in it. Here the whole plant is monitored and controlled with the help of distributed control system. There are different units in this process such rapid mixing tank, coagulation process, flocculation process and then the floatation unit. Here we are going to simulate the effluent treatment plant with help of distributed control system software. The petroleum refinery uses large amount of water, at a same time more wastewater is produced so the effluent from various units are collected and then they are treated. the collected effluent is passed to a rapid mixing tank where the coagulation process is carried over and then to the floculation unit and here it is important to maintain the pH and then to the floatation unit i.e. dissolved air floatation unit where oil and water is separated and then lastly treated effluent is obtained and the quality of it should meet the regulation values. In this process various interlocks are written in a DCS software such that process runs continuously. Then graphical display of whole plant is designed.
{"title":"Automation of effluent treatment plant in petroleum refinery","authors":"R. Vignesh, K. Kamini, B. Chinthamani, M. Senthilarasan","doi":"10.1109/TIAR.2015.7358553","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358553","url":null,"abstract":"In this work, the automation of effluent treatment plant is designed in order to treat the effluent water before its discharge. The waste water is treated so that it does not affect the environment because waste water consist of many toxic substance in it. Here the whole plant is monitored and controlled with the help of distributed control system. There are different units in this process such rapid mixing tank, coagulation process, flocculation process and then the floatation unit. Here we are going to simulate the effluent treatment plant with help of distributed control system software. The petroleum refinery uses large amount of water, at a same time more wastewater is produced so the effluent from various units are collected and then they are treated. the collected effluent is passed to a rapid mixing tank where the coagulation process is carried over and then to the floculation unit and here it is important to maintain the pH and then to the floatation unit i.e. dissolved air floatation unit where oil and water is separated and then lastly treated effluent is obtained and the quality of it should meet the regulation values. In this process various interlocks are written in a DCS software such that process runs continuously. Then graphical display of whole plant is designed.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114536416","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358531
K. Anand, C. Jayakumar, M. Muthu, Sridhar Amirneni
An intelligent drip irrigation system optimizes water and fertilizer use for agricultural crops using wireless sensors and fuzzy logic. The wireless sensor networks consists of many sensor nodes, hub and control unit. The sensor collects real-time data such as temperature, soil humidity. This data is sent to the hub using the wireless technology. The hub processes the data using fuzzy logic and decides the time duration for keeping the valves open. Accordingly, the drip irrigation system is implemented for a particular amount of time. The whole system is powered by photovoltaic cells and has a communication link which allows the system to be monitored, controlled, and scheduled through cellular text messages. The system can quickly and accurately calculate water demand amount of crops, which can provide a scientific basis for water-saving irrigation, as well as a method to optimize the amount of fertilizer used.
{"title":"Automatic drip irrigation system using fuzzy logic and mobile technology","authors":"K. Anand, C. Jayakumar, M. Muthu, Sridhar Amirneni","doi":"10.1109/TIAR.2015.7358531","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358531","url":null,"abstract":"An intelligent drip irrigation system optimizes water and fertilizer use for agricultural crops using wireless sensors and fuzzy logic. The wireless sensor networks consists of many sensor nodes, hub and control unit. The sensor collects real-time data such as temperature, soil humidity. This data is sent to the hub using the wireless technology. The hub processes the data using fuzzy logic and decides the time duration for keeping the valves open. Accordingly, the drip irrigation system is implemented for a particular amount of time. The whole system is powered by photovoltaic cells and has a communication link which allows the system to be monitored, controlled, and scheduled through cellular text messages. The system can quickly and accurately calculate water demand amount of crops, which can provide a scientific basis for water-saving irrigation, as well as a method to optimize the amount of fertilizer used.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"695 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122633355","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358530
M. C. Dwarkani, R. Ram, S. Jagannathan, R. Priyatharshini
Agriculture is the broadest economic sector and plays an important role in the overall economic development of a nation. Technological advancements in the arena of agriculture will ascertain to increase the competence of certain farming activities. In this paper, we have proposed a novel methodology for smart farming by linking a smart sensing system and smart irrigator system through wireless communication technology. Our system focuses on the measurement of physical parameters such as soil moisture content, nutrient content, and pH of the soil that plays a vital role in farming activities. Based on the essential physical and chemical parameters of the soil measured, the required quantity of green manure, compost, and water is splashed on the crops using a smart irrigator, which is mounted on a movable overhead crane system. The detailed modeling and control strategies of a smart irrigator and smart farming system are demonstrated in this paper.
{"title":"Smart farming system using sensors for agricultural task automation","authors":"M. C. Dwarkani, R. Ram, S. Jagannathan, R. Priyatharshini","doi":"10.1109/TIAR.2015.7358530","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358530","url":null,"abstract":"Agriculture is the broadest economic sector and plays an important role in the overall economic development of a nation. Technological advancements in the arena of agriculture will ascertain to increase the competence of certain farming activities. In this paper, we have proposed a novel methodology for smart farming by linking a smart sensing system and smart irrigator system through wireless communication technology. Our system focuses on the measurement of physical parameters such as soil moisture content, nutrient content, and pH of the soil that plays a vital role in farming activities. Based on the essential physical and chemical parameters of the soil measured, the required quantity of green manure, compost, and water is splashed on the crops using a smart irrigator, which is mounted on a movable overhead crane system. The detailed modeling and control strategies of a smart irrigator and smart farming system are demonstrated in this paper.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193423","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358525
A. Sneha, E. Abirami, A. Ankita, R. Praveena, R. Srimeena
This paper strives to develop a robot capable of performing operations like automatic ploughing, seed dispensing, fruit picking and pesticide spraying. It also provides manual control when required and keeps tabs on the humidity with the help of humidity sensors. The main component here is the AVR At mega microcontroller that supervises the entire process. Initially the robot tills the entire field and proceeds to ploughing, simultaneously dispensing seeds side by side. The device used for navigation is an ultrasonic sensor which continuously sends data to the microcontroller. On the field the robot operates on automated mode, but outside the field is strictly operated in manual mode. For manual control the robot uses the Bluetooth pairing app as control device and helps in the navigation of the robot outside the field. The field is fitted with humidity sensors placed at various spots that continuously monitor the environment for humidity levels. It checks these levels with the set point for humidity and alerts the farmer. The alerting mechanism is GSM module that sends a text message to the farmer informing him about the breach in set point. The farmer then responds via SMS to either switch on the water sprinklers or ignore the alert. The water sprinklers, if on, bring down the humidity level thus providing an ideal growing environment to crop. The concept of fruit picking and pesticide spraying is described under the process domain. Farmers today spend a lot of money on machines that help them decrease labor and increase yield of crops but the profit and efficiency are very less. Hence automation is the ideal solution to overcome all the shortcomings by creating machines that perform one operations and automating it to increase yield on a large scale.
本文致力于开发一种能够完成自动犁地、自动播种、自动采摘水果、自动喷洒农药等操作的机器人。它还在需要时提供手动控制，并在湿度传感器的帮助下保持湿度。这里的主要组件是AVR At mega微控制器，它监督整个过程。一开始，机器人会在整片土地上耕作，然后进行翻耕，同时并排播种。用于导航的设备是一个超声波传感器，它不断地向微控制器发送数据。在赛场上，机器人以自动模式运行，而在赛场外，则严格以手动模式运行。对于手动控制，机器人使用蓝牙配对应用程序作为控制设备，并帮助机器人在场外导航。现场安装了湿度传感器，放置在不同的位置，连续监测环境的湿度水平。它会根据湿度设定值检查这些水平，并提醒农民。警报机制是GSM模块，发送文本消息给农民，通知他违反设定值。然后，农民通过短信回应，要么打开洒水器，要么无视警报。洒水器，如果打开，降低湿度水平，从而提供一个理想的作物生长环境。在过程域下描述了水果采摘和农药喷洒的概念。今天的农民花很多钱在机器上，这些机器帮助他们减少劳动，提高作物产量，但利润和效率却很低。因此，自动化是克服所有缺点的理想解决方案，它创造了执行一项操作的机器，并将其自动化，以大规模提高产量。
{"title":"Agricultural Robot for automatic ploughing and seeding","authors":"A. Sneha, E. Abirami, A. Ankita, R. Praveena, R. Srimeena","doi":"10.1109/TIAR.2015.7358525","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358525","url":null,"abstract":"This paper strives to develop a robot capable of performing operations like automatic ploughing, seed dispensing, fruit picking and pesticide spraying. It also provides manual control when required and keeps tabs on the humidity with the help of humidity sensors. The main component here is the AVR At mega microcontroller that supervises the entire process. Initially the robot tills the entire field and proceeds to ploughing, simultaneously dispensing seeds side by side. The device used for navigation is an ultrasonic sensor which continuously sends data to the microcontroller. On the field the robot operates on automated mode, but outside the field is strictly operated in manual mode. For manual control the robot uses the Bluetooth pairing app as control device and helps in the navigation of the robot outside the field. The field is fitted with humidity sensors placed at various spots that continuously monitor the environment for humidity levels. It checks these levels with the set point for humidity and alerts the farmer. The alerting mechanism is GSM module that sends a text message to the farmer informing him about the breach in set point. The farmer then responds via SMS to either switch on the water sprinklers or ignore the alert. The water sprinklers, if on, bring down the humidity level thus providing an ideal growing environment to crop. The concept of fruit picking and pesticide spraying is described under the process domain. Farmers today spend a lot of money on machines that help them decrease labor and increase yield of crops but the profit and efficiency are very less. Hence automation is the ideal solution to overcome all the shortcomings by creating machines that perform one operations and automating it to increase yield on a large scale.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127152744","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358551
R. Shobana, C. Sreepradha, S. Sobana, R. Panda
The nitration of organic compounds is among the basic reactions used in synthesis of many compounds used in agrochemicals industries, pharmaceuticals, dyes and agriculture. The Nitration process are usually carried out as batch process in aqueous phase as they are very sensitive and liable to explode. A very close control of heat and mass transfer is necessary as it leads to selectivity of reaction under safe condition. This prevents the thermal loss of control of the system, so that the reaction temperature rise can be limited below a critical value. The Present work carries out the Identification and Estimation of model states of a runaway reaction. The temperature data are collected from exothermic reactor and the optimal model is identified using NARX method. The Kalman, Extended Kalman and Unscented Kalman filter dynamics are studied and implementation and design of the optimal filters are carried out. The filter algorithms are used to estimate the concentration and temperature in the presence of random noise in measurement. The nonlinear estimators are compared for selection of best estimator. The results are found motivating for development of control.
{"title":"Identification and Estimation of temperature in Nitration process","authors":"R. Shobana, C. Sreepradha, S. Sobana, R. Panda","doi":"10.1109/TIAR.2015.7358551","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358551","url":null,"abstract":"The nitration of organic compounds is among the basic reactions used in synthesis of many compounds used in agrochemicals industries, pharmaceuticals, dyes and agriculture. The Nitration process are usually carried out as batch process in aqueous phase as they are very sensitive and liable to explode. A very close control of heat and mass transfer is necessary as it leads to selectivity of reaction under safe condition. This prevents the thermal loss of control of the system, so that the reaction temperature rise can be limited below a critical value. The Present work carries out the Identification and Estimation of model states of a runaway reaction. The temperature data are collected from exothermic reactor and the optimal model is identified using NARX method. The Kalman, Extended Kalman and Unscented Kalman filter dynamics are studied and implementation and design of the optimal filters are carried out. The filter algorithms are used to estimate the concentration and temperature in the presence of random noise in measurement. The nonlinear estimators are compared for selection of best estimator. The results are found motivating for development of control.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116581673","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358523
C. Kumaravelu, A. Gopal
The purpose of this review article is to outline the recent progress in Near Infrared (NIR) spectroscopy and spectral data analysis using Chemometrics in agro-food processing industries. In recent years, all the processing industries have created the need for cost effective and non-destructive quality control analysis systems to improve their products significantly. Among varies process industries, the agro-food processing industries encompasses all steps from the grower to the customer, involves substantially different types of process, which require monitoring for safety, conformance to specification and profit optimization. The agro-food processing industries cover a wide range of activities utilizing agriculture farm, animal and forestry based products as a raw materials. There are certain traditional quality inspection systems in agro based industries such as agricultural green houses, product stock waste, animal feed, farm machinery, fertilizer, flower bulbs, seeds & seedlings, fresh vegetables, fruits, grains, nuts & kernels, oil seeds and plant & animal oil etc. to assess the quality of their food products by employing machine vision technology to identify the external defects of the products and X-Ray based imaging to identify internal defects of the products, but the NIR spectroscopy technique can also be applied for the above said industries, because it is particularly powerful in non-invasive, non-destructive, speed in analysis, flexibility in adapting to different sample states. However, this NIR spectroscopy requires a unique way to extract relevant physical and chemical information from the sample's spectral data and this can be performed by only a new statistical approach namely Chemometric algorithms. In this review, the principles and advantages of NIR spectroscopy are described first and then its application to various organic products in agro-food processing industries.
{"title":"A review on the applications of Near-Infrared spectrometer and Chemometrics for the agro-food processing industries","authors":"C. Kumaravelu, A. Gopal","doi":"10.1109/TIAR.2015.7358523","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358523","url":null,"abstract":"The purpose of this review article is to outline the recent progress in Near Infrared (NIR) spectroscopy and spectral data analysis using Chemometrics in agro-food processing industries. In recent years, all the processing industries have created the need for cost effective and non-destructive quality control analysis systems to improve their products significantly. Among varies process industries, the agro-food processing industries encompasses all steps from the grower to the customer, involves substantially different types of process, which require monitoring for safety, conformance to specification and profit optimization. The agro-food processing industries cover a wide range of activities utilizing agriculture farm, animal and forestry based products as a raw materials. There are certain traditional quality inspection systems in agro based industries such as agricultural green houses, product stock waste, animal feed, farm machinery, fertilizer, flower bulbs, seeds & seedlings, fresh vegetables, fruits, grains, nuts & kernels, oil seeds and plant & animal oil etc. to assess the quality of their food products by employing machine vision technology to identify the external defects of the products and X-Ray based imaging to identify internal defects of the products, but the NIR spectroscopy technique can also be applied for the above said industries, because it is particularly powerful in non-invasive, non-destructive, speed in analysis, flexibility in adapting to different sample states. However, this NIR spectroscopy requires a unique way to extract relevant physical and chemical information from the sample's spectral data and this can be performed by only a new statistical approach namely Chemometric algorithms. In this review, the principles and advantages of NIR spectroscopy are described first and then its application to various organic products in agro-food processing industries.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270612","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358548
Jenice Aroma, K. Raimond
The satellite images are applied on a wide range of applications. It plays a vital role in monitoring and maintaining the environmental changes and also in many agricultural applications. Nowadays, the Land degradation, Ground water scarcity and other climatic hazards are intensively high and it needs development of more advanced prediction models. These models can be deployed more effectively on using satellite images. Due to the launch of many modern satellites the availability of satellite images are high but still the exploitation of these resources are very scarce. It is due to the lack of knowledge over varied properties and the availability of different sources of satellite images. Though the moderate resolution satellite images are freely available, the rate of exploitation of these resources is still very less. Hence, this paper focuses on detailing the diverse characteristics and availability of satellite images which could be a great help for beginners in remote sensing research. In addition the details on major satellite derived products which are applied widely in different mapping applications are also listed. Further, the importance of satellite images in few notable applications is also explained.
{"title":"A review on availability of remote sensing data","authors":"Jenice Aroma, K. Raimond","doi":"10.1109/TIAR.2015.7358548","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358548","url":null,"abstract":"The satellite images are applied on a wide range of applications. It plays a vital role in monitoring and maintaining the environmental changes and also in many agricultural applications. Nowadays, the Land degradation, Ground water scarcity and other climatic hazards are intensively high and it needs development of more advanced prediction models. These models can be deployed more effectively on using satellite images. Due to the launch of many modern satellites the availability of satellite images are high but still the exploitation of these resources are very scarce. It is due to the lack of knowledge over varied properties and the availability of different sources of satellite images. Though the moderate resolution satellite images are freely available, the rate of exploitation of these resources is still very less. Hence, this paper focuses on detailing the diverse characteristics and availability of satellite images which could be a great help for beginners in remote sensing research. In addition the details on major satellite derived products which are applied widely in different mapping applications are also listed. Further, the importance of satellite images in few notable applications is also explained.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131621548","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 : 2015-07-10DOI: 10.1109/TIAR.2015.7358532
B. Aishwarya, G. Archana, C. Umayal
This paper deals with the exposition of how robotics can be applied to various fields of agriculture. One of the most important occupations in a developing country like India is agriculture. It is very important to improve the efficiency and productivity of agriculture by replacing laborers with intelligent machines like robots using latest technologies. The paper proposes a new strategy to replace humans in various agricultural operations like detection of presence of pests, spraying of pesticides, spraying of fertilizers, etc there by providing safety to the farmers and precision agriculture. The developed system involves designing a prototype which uses simple cost effective equipments like microprocessors, wireless camera, various motors and terminal equipments which is an aid to the farmers in various crop field activities.
{"title":"Agriculture robotic vehicle based pesticide sprayer with efficiency optimization","authors":"B. Aishwarya, G. Archana, C. Umayal","doi":"10.1109/TIAR.2015.7358532","DOIUrl":"https://doi.org/10.1109/TIAR.2015.7358532","url":null,"abstract":"This paper deals with the exposition of how robotics can be applied to various fields of agriculture. One of the most important occupations in a developing country like India is agriculture. It is very important to improve the efficiency and productivity of agriculture by replacing laborers with intelligent machines like robots using latest technologies. The paper proposes a new strategy to replace humans in various agricultural operations like detection of presence of pests, spraying of pesticides, spraying of fertilizers, etc there by providing safety to the farmers and precision agriculture. The developed system involves designing a prototype which uses simple cost effective equipments like microprocessors, wireless camera, various motors and terminal equipments which is an aid to the farmers in various crop field activities.","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122278477","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 : 1900-01-01DOI: 10.1109/tiar.2015.7358519
J. Corney, A. Jhunjhunwala
{"title":"An international workshop on creating sustainable rural employment through industrial process outsourcing","authors":"J. Corney, A. Jhunjhunwala","doi":"10.1109/tiar.2015.7358519","DOIUrl":"https://doi.org/10.1109/tiar.2015.7358519","url":null,"abstract":"","PeriodicalId":281784,"journal":{"name":"2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114635391","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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