Deep Learning Based Plant Growth And Harvesting Prediction Device And Method Thereof

Exemplary aspects of the present disclosure are directed towards Deep Learning Based Plant Growth And Harvesting Prediction Device And Method Thereof. It consists of a plurality of Plant Moderator Terminal (PMT) 101 comprising Humidity/Temperature sensor 001c-1, soil-moisture sensor 001c-2, Light-intensity sensor 001c-3, CO2 Sensor 001c-4 and camera 001c-5, communicates with the Machine Leaning-based moderator (MLM) 103 through IoT-network 102. The cloud aggregator 104 and 105 collects the factors affecting the growth of crop/plant and demand from various web portals. Based on the collected data and also by the images collected by Camera 001c-5, cloud aggregator 104 trained with Deep Learning Approach 106 predicts the best harvest date from the date of seeding. This harvesting date is presented as the number of days left to harvest and fed to MLM through IoT connection. MLM 103 updates the routine in PMTs 101 based on the number of days remaining to harvest. RTMs run the routine and control the temperature/humidity, moisture, water, light intensity, and CO2 supplying to plant/crop.