• AMIRTHAVARSHINI .V
• MEGA .S
• SOWMIYA .A
• Mr.J.SANTHANAKRISHNAN

A limitless measure of the population of India considers farming as its primary occupation. The production of crops plays an crucial part in our country. Farming is a spinal cord for an enhancing financial system in India and there is an enormous need to maintain the agricultural financial development. It is a consequential contribution towards the economic and agricultural prosperity of the countries across the world. Low production of crops is often due to unpredictable whether condition. The motto of this paper is to propose an ML (machine learning) based agriculture system that can assist farmers or agriculturist in prediction of crop yield condition. The data sensed by these sensors is stored on the microcontroller and analyzed using machine learning algorithms like random forest and light GBM based on which suggestions for the growth suitable crops are made. Based on different condition of field factors we recommend the crops.

crop prediction, crop recommendation, machine learning, support vector machine(SVM),random forest, decision tree, k-nearest neighbor(KNN)

"CROP YIELD RECOMMENDATION SYSTEM BASED ON PRODUCTIVITY USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.c53-c59, June-2022, Available :http://www.jetir.org/papers/JETIR2206205.pdf

"CROP YIELD RECOMMENDATION SYSTEM BASED ON PRODUCTIVITY USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppc53-c59, June-2022, Available at : http://www.jetir.org/papers/JETIR2206205.pdf