Smart Agriculture Crop Yield Maximization Technique

Smart Agriculture Crop Yield Maximization Technique

Chaithra M S^1*, Deepika N R², Bhoomika H A³, Deeksha J⁴, Anitha T G⁵

^1,2,3,4Student, Electronics and communication, EWIT, Bangalore, India

⁵ Professor, Electronics and communication, EWIT, Bangalore, India

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Abstract - Agriculture and its allied sectors are undoubtedly the largest providers of livelihoods in rural India and is the backbone of the country. The agriculture sector is also a significant contributor factor to the country’s Gross Domestic Product (GDP). This Project is an attempt to minimize the losses that occurs in Agricultural field due to climate changes, environmental changes and fluctuations in market price. Blessing to the country is the overwhelming size of the agricultural sector, but regrettable is the yield per hectare of crop is not up to international standards. Also, the poor knowledge of farmers about the crop is one of the possible causes for a higher suicide rate among marginal farmers in India. This paper proposes a viable and user-friendly yield prediction system for the farmers using Machine learning algorithms which are applied to get best predicted results through the web application.

Keywords: Gross Domestic Product (GDP), yield prediction, Machine learning (ML)