Abstract
Nowadays, it is important to automate the processes in farming. For efficient farming, we can use embedded systems and IoT by which farming could become like a video game. Robots in control are more than a simple case study. We are demonstrating a simple example of Ploughing in which Tractor has its own vision, through which it can identify the boundary of the field and can plough the field without any driver. A farmer can easily operate various farming operations on his smartphone in just one tap. The vision is able to detect the poles on the boundary of farm, and using image processing, camera on tractor is able to detect the colour flag on a pole, and by detecting the colour of the pole, it is able to turn by its own and plough the field completely and stop. We can use this concept to automate the seeding, irrigation, weeding, harvesting, delivery, etc., depending upon the crop.
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Thakur, S., Bawiskar, S., Singh, S.K., Shanmugasundaram, M. (2020). Autonomous Farming—Visualization of Image Processing in Agriculture. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 89. Springer, Singapore. https://doi.org/10.1007/978-981-15-0146-3_32
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DOI: https://doi.org/10.1007/978-981-15-0146-3_32
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