Agriculture is a well-known term that refers to one of the most important sources of vegetarian food. Agriculture produces fabrics, wool, cotton, and leather in addition to food. Agriculture affects more than 65 percent of the world’s population, either directly or indirectly. For many individuals, it is their main source of income. It accounts for a substantial portion of global GDP. Farmers, however, despite spending a lot of money, are unable to produce enough quantities and quality food owing to poor weather conditions and other issues. Farmers have difficulty in detecting illness in plants, and farmers also face challenges in managing these diseases. Plant classification/recognition, fruit classification/counting, weed classification/counting, disease identification, and other agricultural topics are covered in this chapter. We also go through different deep learning methods such as CNN, RNN, and GAN, as well as preset networks like as VGG and ResNet, and solutions to specific agricultural issues.