Description

Agriculture is the one amongst the substantial area of interest to society since a large portion of food is produced by them. Agriculture is the most important sector that influences the economy of India. Agriculture for years but the results are never satisfying due to various factors that affect the crop yield. Deep-learning-based models are broadly used to extract significant crop features for prediction. The input is taken from dataset repository. The system is developed the different classification algorithms such as Random forest and convolutional neural network for predicting the crop is either healthy or disease like high, mild or moderate. Finally, the experimental results shows that the accuracy, precision, recall and f1-score.