Crop Disease Identification using Convolutional Neural Network

Abstract

Troublesome crop pests cause a significant loss of revenue for the agricultural sector of the economy. It is crucial for efficient pest control to have a prompt and precise identification of both the pests themselves as well as the harm that cause. This essay will not only explain why it is so crucial to identify agricultural pests correctly, but it will also discuss the steps to attain that exact goal. When weeds and other agricultural pests are accurately recognized, it is much simpler to eradicate them using a management strategy that follows a systematic approach. It is essential for accurate pest identification, predicting how the pest will behave, and eradicating the pest. These data are essential for making sound decisions on IPM practices and applying pesticides effectively.