Crop Prediction Based on Artificial Intelligence and Machine Learning

  • Jigyasa Yadav, et. al.


Agriculture is one of the major revenues producing sectors of India and a source of survival. The kind of yield desire is the hardest task for the cultivating space. Artificial Intelligence (AI) and Machine Learning (ML) are the recent technologies from the last few years. Machine Learning can acquire a blast in the farming field by changing the pay situation through developing the ideal yield. This paper focuses on predicting the yield of the crop by applying Deep neural network technique. The outcome of these techniques is compared on the basis of mean absolute error. The prediction made by machine learning algorithms will help the farmers to decide which crop to grow to get the maximum yield by considering factors like soil temperature, moisture, area groundwater level, etc.