Pub Date : 2017-04-01DOI: 10.1109/TIAR.2017.8273708
S. Routray, Renny M. Thakeran, D. Srikanth, P. Preeti, K. Keerthi
Foraging is a typical behavior of honeybees. In fact, it is the main purpose of the lives of the working class honeybees. Foraging is essential for the survival of the honeybees and it has significant impact on the pollination of grains in the foraging environment. In order to have proper pollination as well as healthy production of honey, it is necessary to have an optimized environment of foraging. In this article, we provide the study and analysis of honeybee foraging networks. The main aim of this work is to develop a statistical model for honeybee foraging network distances as measured from the beehives. This can be a potential application in improving the yield in apiculture (cultivation of honeybees). We develop a statistical model for honeybee foraging networks in the similar way they are modeled for communication networks. At present, there is no statistical model available for honeybee foraging network distances. This statistical model for honeybee foraging networks can help the apiculture farmers to improve their yield. From our analysis, we find that GEV distribution is suitable for the statistical modeling of honeybee foraging networks.
{"title":"Statistical analysis and modeling of honeybee foraging networks for apiculture","authors":"S. Routray, Renny M. Thakeran, D. Srikanth, P. Preeti, K. Keerthi","doi":"10.1109/TIAR.2017.8273708","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273708","url":null,"abstract":"Foraging is a typical behavior of honeybees. In fact, it is the main purpose of the lives of the working class honeybees. Foraging is essential for the survival of the honeybees and it has significant impact on the pollination of grains in the foraging environment. In order to have proper pollination as well as healthy production of honey, it is necessary to have an optimized environment of foraging. In this article, we provide the study and analysis of honeybee foraging networks. The main aim of this work is to develop a statistical model for honeybee foraging network distances as measured from the beehives. This can be a potential application in improving the yield in apiculture (cultivation of honeybees). We develop a statistical model for honeybee foraging networks in the similar way they are modeled for communication networks. At present, there is no statistical model available for honeybee foraging network distances. This statistical model for honeybee foraging networks can help the apiculture farmers to improve their yield. From our analysis, we find that GEV distribution is suitable for the statistical modeling of honeybee foraging networks.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130264167","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273713
M. Sreeja, M. Sreeram
Over the past few decades, all the countries around the globe are trying to achieve Education for all by improving educational facilities. These initiatives are more evident in developing countries. In India, there are many government initiatives to improve the access and quality of education through various National level missions. Most of the initiatives are in progress but is not equipped to address the challenges faced in the implementation level. These projects only focus in the development of technology for school and college level education. Other sectors of society including skill development for youth, women empowerment and access to technology for farmers and common man are never addressed effectively. This paper proposes a novel model for solving these challenges to a large extend and enabling facilities for everyone with emphasis to the rural area and thus providing access to technology and significantly improving the socio economic and educational development in India. The model consists of a smart tutor which is a highly interactive and content based single window e-learning module with contents for all the categories including students, women, farmers and common man. The implementation stage consists of database and server unit, smart rooms and self-learning rooms.
{"title":"Teacher less classroom: A new perspective for making social empowerment a reality","authors":"M. Sreeja, M. Sreeram","doi":"10.1109/TIAR.2017.8273713","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273713","url":null,"abstract":"Over the past few decades, all the countries around the globe are trying to achieve Education for all by improving educational facilities. These initiatives are more evident in developing countries. In India, there are many government initiatives to improve the access and quality of education through various National level missions. Most of the initiatives are in progress but is not equipped to address the challenges faced in the implementation level. These projects only focus in the development of technology for school and college level education. Other sectors of society including skill development for youth, women empowerment and access to technology for farmers and common man are never addressed effectively. This paper proposes a novel model for solving these challenges to a large extend and enabling facilities for everyone with emphasis to the rural area and thus providing access to technology and significantly improving the socio economic and educational development in India. The model consists of a smart tutor which is a highly interactive and content based single window e-learning module with contents for all the categories including students, women, farmers and common man. The implementation stage consists of database and server unit, smart rooms and self-learning rooms.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133167210","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273723
V. Balaji, A. Akshaya, N. Jayashree, T. Karthika
Floods are the causes of heavy downpour or the sudden release of water from the dam. The Public is facing drastic human and monetary loss due to this. ‘Chennai Floods’ is a best example for such natural disaster. Public aren't aware of the sudden release of water from the dams and they couldn't get any information because there was complete loss of network connectivity. This paper is based on the design of ZigBee based wireless sensor network for early flood monitoring and warning system. ZigBee technology, is a low cost and low power consumption device. The Flood alert system ensures to provide the water level information to the public in their mobile application even without network connectivity and help them reach a safer place through stored images.
{"title":"Design of ZigBee based wireless sensor network for early flood monitoring and warning system","authors":"V. Balaji, A. Akshaya, N. Jayashree, T. Karthika","doi":"10.1109/TIAR.2017.8273723","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273723","url":null,"abstract":"Floods are the causes of heavy downpour or the sudden release of water from the dam. The Public is facing drastic human and monetary loss due to this. ‘Chennai Floods’ is a best example for such natural disaster. Public aren't aware of the sudden release of water from the dams and they couldn't get any information because there was complete loss of network connectivity. This paper is based on the design of ZigBee based wireless sensor network for early flood monitoring and warning system. ZigBee technology, is a low cost and low power consumption device. The Flood alert system ensures to provide the water level information to the public in their mobile application even without network connectivity and help them reach a safer place through stored images.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114991135","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273680
N. Thilagavathi, T. Amudha, N. Sivakumar
Agricultural system is the process of cyclic activities based on the natural sources. Current agricultural system is using equipments, fertilizers, pesticide and hybrid seeds to get more production and productivity of crops. To get more yield and satisfy the food demand, chemical fertilizers and pesticides are used to protect the crops. The excess usage of chemical fertilizers affects the soil, groundwater, air, human health and environment. To avoid these environment affects, chemical fertilizer can be replaced with organic manures and manure crops. The organic manures are easily decomposable and not harmful to environment and human health. This paper presents a study on organic and inorganic fertilizers, their impacts and side effects. It also surveys the computer algorithms and tools which play a major role in the field of farming to save and support ecology. Optimization algorithms can be applied to optimize the usage of fertilizers and organic manures in the effective manner.
{"title":"Computational perspective on organic farming — A survey","authors":"N. Thilagavathi, T. Amudha, N. Sivakumar","doi":"10.1109/TIAR.2017.8273680","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273680","url":null,"abstract":"Agricultural system is the process of cyclic activities based on the natural sources. Current agricultural system is using equipments, fertilizers, pesticide and hybrid seeds to get more production and productivity of crops. To get more yield and satisfy the food demand, chemical fertilizers and pesticides are used to protect the crops. The excess usage of chemical fertilizers affects the soil, groundwater, air, human health and environment. To avoid these environment affects, chemical fertilizer can be replaced with organic manures and manure crops. The organic manures are easily decomposable and not harmful to environment and human health. This paper presents a study on organic and inorganic fertilizers, their impacts and side effects. It also surveys the computer algorithms and tools which play a major role in the field of farming to save and support ecology. Optimization algorithms can be applied to optimize the usage of fertilizers and organic manures in the effective manner.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128474898","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273709
Raghavendra Singh Dasila, M. Trivedi, Shubham Soni, M. Senthil, M. Narendran
The widespread availability of mobile platform with internet connectivity, has the potential to bring substantial benefits to the people with sensory impairments such as visually impaired people. With the substantial advancement in computer vision at identifying objects, the solution is to propose an application on a mobile platform which segments image captured through the camera into separate objects, which are passed on to an image classification cloud server. The application then proceeds to dictate the name of the object according to the relative position of the object from the user along with a binaural audio experience to perceive the environment. This solution can help visually impaired people to live their live more easily and with less assistance. Future prospects of this solution involve assisted movement and text reading.
{"title":"Real time environment perception for visually impaired","authors":"Raghavendra Singh Dasila, M. Trivedi, Shubham Soni, M. Senthil, M. Narendran","doi":"10.1109/TIAR.2017.8273709","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273709","url":null,"abstract":"The widespread availability of mobile platform with internet connectivity, has the potential to bring substantial benefits to the people with sensory impairments such as visually impaired people. With the substantial advancement in computer vision at identifying objects, the solution is to propose an application on a mobile platform which segments image captured through the camera into separate objects, which are passed on to an image classification cloud server. The application then proceeds to dictate the name of the object according to the relative position of the object from the user along with a binaural audio experience to perceive the environment. This solution can help visually impaired people to live their live more easily and with less assistance. Future prospects of this solution involve assisted movement and text reading.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130592640","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273690
K. Devi, P. Maheswari
Character recognition plays a major role in electronic conversion of handwritten script and inscription images into a digital form for the preserving the precious content of prehistoric documents. The script in materialistic form may be deteriorated over time and lost as time passes by. Hence, it is really imperative to take necessary measures to digitally archive the scripts. Character recognition is the predominant technique that includes stages of preprocessing the script images and undergo machine learning to recognize individual character from them. A comprehensive study on such character recognition efforts done for various languages both National and International level like Arabic, Thai, Chinese, English, Kannada, Devanagari, Marathi and Tamil was done and the essence of materials, methods and techniques used have been presented in this paper. This work envisioned to analyze the potentials for developing a sys-tem for developing a system Tamil character recognition system.
{"title":"Insight on character recognition for calligraphy digitization","authors":"K. Devi, P. Maheswari","doi":"10.1109/TIAR.2017.8273690","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273690","url":null,"abstract":"Character recognition plays a major role in electronic conversion of handwritten script and inscription images into a digital form for the preserving the precious content of prehistoric documents. The script in materialistic form may be deteriorated over time and lost as time passes by. Hence, it is really imperative to take necessary measures to digitally archive the scripts. Character recognition is the predominant technique that includes stages of preprocessing the script images and undergo machine learning to recognize individual character from them. A comprehensive study on such character recognition efforts done for various languages both National and International level like Arabic, Thai, Chinese, English, Kannada, Devanagari, Marathi and Tamil was done and the essence of materials, methods and techniques used have been presented in this paper. This work envisioned to analyze the potentials for developing a sys-tem for developing a system Tamil character recognition system.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126840656","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273677
Kainat Affrin, P. Reshma, G. N. Kumar
Leucinodes Orbonalis commonly called as Brinjal Borer the main destructive pest of poor Farmer's crop, has a high reproductive cycle in both dry and wet season. Not much effective controlling of these pests are available as they bore inside the shoot, stem and fruits. Monitoring of pests in the field needs a huge human effort which is not accurate but time consuming, hence, automation in agriculture is a big need of the day. Automated spraying of Vermiwash along with the extracts of Neem oil, Garlic and Custard Apple Leaves at periodic intervals using Wireless Sensor Networks has yielded good results. As the presence of pest is detected by the sensor bio-pesticides are sprayed according to the need which are totally safe for plants, Environment and Human health.
{"title":"Control and management of L. Orbonalis using WSNs","authors":"Kainat Affrin, P. Reshma, G. N. Kumar","doi":"10.1109/TIAR.2017.8273677","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273677","url":null,"abstract":"Leucinodes Orbonalis commonly called as Brinjal Borer the main destructive pest of poor Farmer's crop, has a high reproductive cycle in both dry and wet season. Not much effective controlling of these pests are available as they bore inside the shoot, stem and fruits. Monitoring of pests in the field needs a huge human effort which is not accurate but time consuming, hence, automation in agriculture is a big need of the day. Automated spraying of Vermiwash along with the extracts of Neem oil, Garlic and Custard Apple Leaves at periodic intervals using Wireless Sensor Networks has yielded good results. As the presence of pest is detected by the sensor bio-pesticides are sprayed according to the need which are totally safe for plants, Environment and Human health.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130418118","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273722
B. Abishek, R. Priyatharshini, M. Eswar, P. Deepika
The effective rainfall received plays a huge role in the growth of crops in agriculture during all stages of crop growth. There may be times when the effective rainfall received may not be enough to support crop growth and thus knowledge about it beforehand can help farmers in estimating the amount of water that has to be supplied through irrigation. Prediction of effective rainfall and crop water needs is a very challenging task which requires meticulous and scrupulous analysis of a profound list of factors such as temperature and humidity. In the past effective rainfall has been computed by taking three major factors into consideration, the humidity, temperature and the received rainfall. Many mathematical models have been proposed over the ages and many of them are still applied to find the effective rainfall. Here the effective rainfall is computed by performing a series of complex mathematical computations which have been broken up into simpler steps and given as an estimated figure. Important factors such as land evaporation transpiration rates, humidity, groundwater characteristics, and temperature have been considered to ascertain the effective amount of rainfall received in a designated area in a simpler way. This technique can be used to predict the amount of effective rainfall and in turn can also be used to predict the crop water needs for any particular area. For now this method is applied to determine the effective rainfall and crop water needs in Bijapur district of Karnataka to maximize crop yield and to avoid problems such as over irrigation of crops in that area.
{"title":"Prediction of effective rainfall and crop water needs using data mining techniques","authors":"B. Abishek, R. Priyatharshini, M. Eswar, P. Deepika","doi":"10.1109/TIAR.2017.8273722","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273722","url":null,"abstract":"The effective rainfall received plays a huge role in the growth of crops in agriculture during all stages of crop growth. There may be times when the effective rainfall received may not be enough to support crop growth and thus knowledge about it beforehand can help farmers in estimating the amount of water that has to be supplied through irrigation. Prediction of effective rainfall and crop water needs is a very challenging task which requires meticulous and scrupulous analysis of a profound list of factors such as temperature and humidity. In the past effective rainfall has been computed by taking three major factors into consideration, the humidity, temperature and the received rainfall. Many mathematical models have been proposed over the ages and many of them are still applied to find the effective rainfall. Here the effective rainfall is computed by performing a series of complex mathematical computations which have been broken up into simpler steps and given as an estimated figure. Important factors such as land evaporation transpiration rates, humidity, groundwater characteristics, and temperature have been considered to ascertain the effective amount of rainfall received in a designated area in a simpler way. This technique can be used to predict the amount of effective rainfall and in turn can also be used to predict the crop water needs for any particular area. For now this method is applied to determine the effective rainfall and crop water needs in Bijapur district of Karnataka to maximize crop yield and to avoid problems such as over irrigation of crops in that area.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126606865","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273701
D. More, A. Naik, V. C. Kumar
Now a days the use of energy is very necessary, there are number of energy sources available, but while considering the availability of photovoltaic. We can use more, as it is renewable energy source but also to extract the maximum energy from sun the maximum power with p & o algorithm is used in which automatic extraction of maximum power point is takes place, which is used as set point of control system.
{"title":"Maximum power point using P&O technique for photovoltaic system","authors":"D. More, A. Naik, V. C. Kumar","doi":"10.1109/TIAR.2017.8273701","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273701","url":null,"abstract":"Now a days the use of energy is very necessary, there are number of energy sources available, but while considering the availability of photovoltaic. We can use more, as it is renewable energy source but also to extract the maximum energy from sun the maximum power with p & o algorithm is used in which automatic extraction of maximum power point is takes place, which is used as set point of control system.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743839","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 : 2017-04-01DOI: 10.1109/TIAR.2017.8273681
M. Yadav, R. Ghosh, K. Sahu, M. Kalubarme
An investigation on canal irrigation performance assessment and monitoring of Halvad taluka in Surendranagar district of Gujarat, India using remote sensing and Geographic Information System (GIS) was carried during May, 2015 to July, 2015 at Bhaskaracharya Institute For Space Applications and Geo-Informatics (BISAG), Gandhinagar, Gujarat. The Area of Interest (AOI) covering Halvad Taluka was generated from the IRS LISSS-III digital data of 2006 and 2014 using the Halvad Taluka boundary. This data was analyzed using unsupervised and supervised classification techniques for area estimation under various land use classes like Agriculture, Wasteland, Fallow land, General Build-up, Water etc. The Global Positioning System (GPS) measurements were used to locate different-different places on raster image. Various classes spectral signature was generated for supervised classification. Using ERDAS Imagine software we have applied change detection techniques for analysing land-use and land-cover (LULC) change, urban change, etc. The results of supervised classification of IRS LISS-III digital data of 2006 and 2014 crop seasons indicated area under irrigated agricultures has increased during 2014 as compare to 2006. This is mainly because of reduction in area under waste lands and fallow lands. Due to increase in irrigation facilities area under different crops have increased. The result of this brings out the impact of irrigation on the agriculture in the Halvad Taluka.
{"title":"Impact of canal irrigation on agriculture in Halvad block of Gujarat using remote sensing and GIS technology","authors":"M. Yadav, R. Ghosh, K. Sahu, M. Kalubarme","doi":"10.1109/TIAR.2017.8273681","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273681","url":null,"abstract":"An investigation on canal irrigation performance assessment and monitoring of Halvad taluka in Surendranagar district of Gujarat, India using remote sensing and Geographic Information System (GIS) was carried during May, 2015 to July, 2015 at Bhaskaracharya Institute For Space Applications and Geo-Informatics (BISAG), Gandhinagar, Gujarat. The Area of Interest (AOI) covering Halvad Taluka was generated from the IRS LISSS-III digital data of 2006 and 2014 using the Halvad Taluka boundary. This data was analyzed using unsupervised and supervised classification techniques for area estimation under various land use classes like Agriculture, Wasteland, Fallow land, General Build-up, Water etc. The Global Positioning System (GPS) measurements were used to locate different-different places on raster image. Various classes spectral signature was generated for supervised classification. Using ERDAS Imagine software we have applied change detection techniques for analysing land-use and land-cover (LULC) change, urban change, etc. The results of supervised classification of IRS LISS-III digital data of 2006 and 2014 crop seasons indicated area under irrigated agricultures has increased during 2014 as compare to 2006. This is mainly because of reduction in area under waste lands and fallow lands. Due to increase in irrigation facilities area under different crops have increased. The result of this brings out the impact of irrigation on the agriculture in the Halvad Taluka.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130800436","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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