Agriculture is one of the most important sources for human. It provides food for human and makes financial security and also plays a major vital role in the economy of the country. Disease on plant leads to the significant reduction in both the quality and quantity of agricultural products. The studies of plant disease refer to the studies of visually observable patterns on the plants. Monitoring of health and disease on plant plays an important role in successful cultivation of crops in the farm. In early days, the monitoring and analysis of plant diseases were done manually by the expertise person in that field. This requires tremendous amount of work and also requires excessive processing time. The image processing techniques can be used in the plant disease detection.
An agricultural autonomous line follower robotusedto drive through the crop plantations. Ultimately, a unique system has been designed for Plant & Food Research which makes use of a number of electrical systems, computer systems and a plethora of engineering theories. A prototype of a robotic vehicle has been designed, developed and constructed, which should be integrated with motors, controllable using specific electronic components. The system required the use of vision, with custom algorithms being developed to identify plant health. The entire system will be integrated into a fully automated package. This allows the system to autonomously return to specified sites (i.e. individual plantlets) at stipulated time intervals in order to identify subtle changes in plant health and leaf colour
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