Abstract
Cultivation is the most labour-intensive field, as most of the work is done manually by the farmer, which reduces productivity and quality. The cropping fields are vast and require constant monitoring and care, which is difficult if done manually. The paper aims at presenting a detailed study of the application of the self-balancing robot in the field of digital farming and its advantages over the traditional methods. The study will outline the use of a dynamic system like the inverted cart pendulum for robot modelling. Further, it discusses the need for filtering techniques in the device and introducing the theory behind the control system and controllers like the linear quadratic regulator.
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Agarwal, D., Mangla, A., Nagrath, P. (2022). Application of Robotics in Digital Farming. In: Gupta, D., Khanna, A., Kansal, V., Fortino, G., Hassanien, A.E. (eds) Proceedings of Second Doctoral Symposium on Computational Intelligence . Advances in Intelligent Systems and Computing, vol 1374. Springer, Singapore. https://doi.org/10.1007/978-981-16-3346-1_19
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