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The agriculture sector plays a big part in the overall economy of any country. The population of the world is increasing day by day, which is also increasing the overall demand of the food. Due to various diseases and nature of the soil, it is difficult to meet the overall demand of the food. The agronomists and farmers also face many problems in the agriculture sector such as disease identification, knowing nature of the soil, pesticide management, etc. The old methods of managing crop do not help in an effective way in meeting the increasing demand for food. The modern methods such IOT, machine, deep learning, and image processing help to identify the crop health and to predict crop yield. This chapter generally discusses various state-of-the-art technologies and methods for predicting crop yield and disease identification.