Abstract
Agriculture was the most prominent occupation in India once upon a time. Nowadays due to various changes in technology, living style, trends, environment, and climate changes 80% of the population are not willing to be a farmer anymore. If this continues what could be the state of tomorrow’s world. In today’s world, the same technology can be implemented in the agriculture sectors for optimizing the output and fetching the quality crop. For retrieving best harvest some solutions based on images taken by satellites can be analyzed and appropriate prescriptions are given for the crops. This work proposes a system to identify the quality of the crop, fungus detection and infected areas by surveying based on image pattern recognition by collecting the pictures are taken by UAVs (Unmanned Aerial Vehicle); these images are very close to the crops for detecting weeds, differentiating the dried, healthy leaves and identifying the ripen fruits with different levels of intersections. This solution achieves a 50% growth in the harvest and quality of the crop. These technologies should again pave a way for agriculture to be a major occupation in India.
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