Crop Yield Prediction using Hybrid Deep Learning Algorithm for Smart Agriculture

Agriculture is a rapidly growing sector in India. Crop Yield Prediction, soil nutrient level, intelligent irrigation systems, crop monitoring, and other issues are the most pressing agricultural issues. In this research examines the Internet of Things-based smart agriculture system (IoT). This research is primarily concerned with increasing the efficiency of the existing Crop Yield Prediction and decreasing human participation to complete system automation. The Crop Yield Prediction monitors the Crop Yield level controlled manner. When the Crop Yield level increases, the sensor enables the camera to update the observable value and save it to the cloud. To applied our proposed approach on Crop Yield Prediction using Hybrid Deep Learning Algorithm for Smart Agriculture.