V. Karthikraj, Varsha Patil, Senthil Thanneermalai, V. Murugesh
{"title":"Geofencing and Efficient Crop Prediction using Government Documents","authors":"V. Karthikraj, Varsha Patil, Senthil Thanneermalai, V. Murugesh","doi":"10.1109/icac353642.2021.9697167","DOIUrl":null,"url":null,"abstract":"The government of Maharashtra relies on the SaatBaara (7 / 12) document to identify the ownership of the land [4]. In addition, it uses this document to classify any particular land as agricultural or commercial. However, in many cases there is a constant dispute among farmers regarding the boundaries of their lands. The documents only contain the landmarks and do not contain the exact coordinates of the land. Therefore, it is difficult to exactly demarcate the boundaries in real life. This system extracts the landmarks from the documents and pinpoints them on the map. These pinpointed landmarks can be easily readjusted by the farmer to determine the exact location of the land. Further, the farmer determines the crop that they need to sow, based on the past experience and current trend in the market prices and other factors. However, in many of the cases this proves to be inaccurate. Therefore, this system will assist the farmer on determining the type of crops that needs to be sowed on their land for maximum profit based on the documents like Soil Health Card and 7/12 document. As a result, this system can be considered the farmer’s best friend ranging from the demarcation of the boundaries to crop prediction.","PeriodicalId":196238,"journal":{"name":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advances in Computing, Communication, and Control (ICAC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icac353642.2021.9697167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The government of Maharashtra relies on the SaatBaara (7 / 12) document to identify the ownership of the land [4]. In addition, it uses this document to classify any particular land as agricultural or commercial. However, in many cases there is a constant dispute among farmers regarding the boundaries of their lands. The documents only contain the landmarks and do not contain the exact coordinates of the land. Therefore, it is difficult to exactly demarcate the boundaries in real life. This system extracts the landmarks from the documents and pinpoints them on the map. These pinpointed landmarks can be easily readjusted by the farmer to determine the exact location of the land. Further, the farmer determines the crop that they need to sow, based on the past experience and current trend in the market prices and other factors. However, in many of the cases this proves to be inaccurate. Therefore, this system will assist the farmer on determining the type of crops that needs to be sowed on their land for maximum profit based on the documents like Soil Health Card and 7/12 document. As a result, this system can be considered the farmer’s best friend ranging from the demarcation of the boundaries to crop prediction.