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The decline in the agricultural sector is a massive problem for our country, as it relies primarily on agriculture. This decline has come about due to the outdated and traditional methods of farming that are still being employed in the country. Our project which is a semi autonomous robot, aims to improve the situation of the agricultural sector by employing precision agriculture techniques. The project focuses on three aspects of precision agriculture, which includes, formation of a pH-distance map of the field, elimination of weed plants through herbicide spray and drip irrigation techniques using an accurate spraying mechanism. The project will attempt to perform all the tasks in an automated fashion in order to reduce human involvement so that the tedious tasks which were previously done by humans would now be performed through automated mechanisms which will improve the accuracy of the tasks and will consequently improve the agricultural yield of the country. Hence the objective of the project is to perform the techniques of precision agriculture with maximum accuracy. The project would entail a mechanical movable structure of a robot that would be capable of navigating a farm field; the robot would create a map of the farm field by obtaining pH values at various distances. A machine learning module would be employed that would use convolutional neural network to detect the presence of weed plants in the field while a spraying mechanism would also be constructed that would be used both for spraying herbicides on weeds and also to perform drip irrigation techniques. The overall operational support for the robot would be provided through Robot Operating System
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