INTRODUCTION
The primary occupation in India is agriculture. India ranks second in the agricultural output worldwide. Here in India, farmers cultivate a great diversity of crops. Various factors such as climatic conditions, soil conditions, various disease, etc. affect the production of the crops. The existing method for plants disease detection is simply naked eye observation which requires more man labor, properly equipped laboratories, expensive devices, etc. And improper disease detection may led to inexperienced pesticide usage that can cause development of long-term resistance of the pathogens, reducing the ability of the crop to fight back. The plant disease detection can be done by observing the spot on the leaves of the affected plant. The method we are adopting to detect plant diseases is image processing using Convolution neural network For spraying fertilizer an robot is built using robotic chassis and dc geared motor which can run in rough and muddy field. The robot has liquid pump which pumps fertilizer and pesticide from tank.
Objectives
- To design a smart system for agriculture which reduces human intervention.
- To design and build a multipurpose robot for agricultural purpose which can take care automatic irrigation, spraying fertilizer and cutting weed in the farm.
Block diagram
Flow chart
