Design of an IOT system along with UAV for tomato crops disease identification and classification by deep learning method

The tomato crops, in India very huge cultivating crop .in large scale increase yield of crop needs water management, selection of seeds ,the right time of diseases detection and prevention action taken. The farmers are not well skilled about diseases and its prevention action and those also facing labor shortages. We develop the a system which overcome the shortage of labor and lake of skills with emerge technologies, UAV used to take photos of field its avoid former move into field and play of pesticides, IOT technology used to keep some sensors in field to detect the weather condition, these data are share with a model through internet. Machine Learning used to create models for different task in crop duration .we create a system with combine these technologies. Object identification, location based action recommendation for different in tomato crop. Our system is increate yield with 40% and reduced labor with 35%.