Internet of Things-Based Crop Classification Model Using Deep Learning for Indirect Solar Drying

The energy which is obtained from the sun in form of light and heat known as solar energy. Nowadays, technology focused on utilization this rich resource So many ways to harness utilize source have already been introduced; drying crops one its applications. Drying required improve quality well protect so unwanted issues like moisture, pest/insect attacks, birds/animals. Traditional methods are still used dry crops; preserving food product for long time. In paper, we studied about working mechanism indirect dryers introduced IoT-based system control monitor temperature dryer per requirement specific crop. To achieve automation accurately precisely deep learning method also set according