Sulochana Roy, B. J. Sowmya, S. Seema, S. Rajeshwari, M. Vinutha
{"title":"Utility System for Elevating Pre and Post Production of Crops","authors":"Sulochana Roy, B. J. Sowmya, S. Seema, S. Rajeshwari, M. Vinutha","doi":"10.1109/DISCOVER47552.2019.9008103","DOIUrl":null,"url":null,"abstract":"Agriculture plays a crucial role in the developing countries and acts as one of the main sources of food, income and employment in rural areas. So we aim to design & implement an utility system, which comprises of an Internet of Things hardware system utilized for monitoring the farmlands 24X7 and Android applications for the farmers and administrator to keep themselves updated about the minute details pertaining to agriculture. This system helps reduce risk involved in agriculture, allows digitization of agriculture, cuts down on mediators thriving in the market and thereby allows farmers to have better agricultural yields and earn a higher margin of profit. The proposed system shall also be of great monetary benefit to the government as they shall be able to deal directly with the farmers in matters of funding and investment in the field of agriculture. In addition to the current updated market rate of crops being displayed over the Android application for easy reference, future market rates based on the demand, supply, base price and season time of each crop, has also been predicted using W D Gann's Prediction and Pattern Matching algorithm that shall be of great help to the buyer, in this case the administrator. This shall help the farmers understand planting which crop shall yield the maximum return depending upon the present agricultural scenario, participate in cashless transactions with the government administrator for direct selling of crops and also be updated about modern tools and farming techniques that are shared and suggested by the educated sector of our society via YouTube links etc. So automating the entire process of agriculture is beneficial for both, the farmers and the government in the long run.","PeriodicalId":274260,"journal":{"name":"2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DISCOVER47552.2019.9008103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Agriculture plays a crucial role in the developing countries and acts as one of the main sources of food, income and employment in rural areas. So we aim to design & implement an utility system, which comprises of an Internet of Things hardware system utilized for monitoring the farmlands 24X7 and Android applications for the farmers and administrator to keep themselves updated about the minute details pertaining to agriculture. This system helps reduce risk involved in agriculture, allows digitization of agriculture, cuts down on mediators thriving in the market and thereby allows farmers to have better agricultural yields and earn a higher margin of profit. The proposed system shall also be of great monetary benefit to the government as they shall be able to deal directly with the farmers in matters of funding and investment in the field of agriculture. In addition to the current updated market rate of crops being displayed over the Android application for easy reference, future market rates based on the demand, supply, base price and season time of each crop, has also been predicted using W D Gann's Prediction and Pattern Matching algorithm that shall be of great help to the buyer, in this case the administrator. This shall help the farmers understand planting which crop shall yield the maximum return depending upon the present agricultural scenario, participate in cashless transactions with the government administrator for direct selling of crops and also be updated about modern tools and farming techniques that are shared and suggested by the educated sector of our society via YouTube links etc. So automating the entire process of agriculture is beneficial for both, the farmers and the government in the long run.