Abstract
Farmers countenance failure as the crop cultivation decisions by farmers always depend on current market price as the production sustainability processes are not taken into consideration. So there should be some platform which guides the farmer for taking correct decision depending on their need, environment, and changing seasons. The system proposes Marathi calendar using nakshatras which guide farmer for crop cultivation decision. It aims to create methodologies to strengthen the farmers’ economic conditions by providing informed decisions. The methodology used for the system specially uses data mining to generate expert decision along with the fuzzy logic, machine learning to give decisions appropriately to farmer for cultivation of expected crops.
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Acknowledgements
Survey on Data Mining Techniques in Agriculture M. C. S. Geetha Assistant Professor, Dept. of Computer Applications, Kumaraguru College of Technology, Coimbatore, India. International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 2, February 2015
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Kale, S.S., Patil, P.S. (2019). Data Mining Technology with Fuzzy Logic, Neural Networks and Machine Learning for Agriculture. In: Balas, V., Sharma, N., Chakrabarti, A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-1274-8_6
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DOI: https://doi.org/10.1007/978-981-13-1274-8_6
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