Heuristic Prediction of Crop Yield using Machine Learning Technique
S. Pavani1, Augusta Sophy Beulet P.2
1Pavani Sunkara, Department of Electronics Engineering, Vellore institute of Technology, Chennai (Tamil Nadu), India.
2Augusta Sophy Beulet P, Department of Electronics Engineering, Vellore Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 14 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 31 December 2019 | PP: 135-138 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10271291S319/19©BEIESP | DOI: 10.35940/ijeat.A1027.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Vast research has been done and several attempts are made for application of Machine learning in agricultural field. Major challenge in agriculture is to increase the production in the farm and deliver it to the end customers with best possible price and good quality. It is found that at least 50 percent of the farm produce never reach the end consumer due to wastage and high-end prices. Machine learning based solutions developed to solve the difficulties faced by the farmers are being discussed in this work. The real time environmental parameters of Telangana District like soil moisture, temperature, rainfall, humidity are collected and crop yield is being predicted using KNN Algorithm.
Keywords: Agriculture, Crop Yield Prediction, KNN, Machine Learning.
Scope of the Article: Machine Learning