Abstract
This paper presents a study and analysis of an intelligent and autonomous pesticide spraying robotic system for agricultural applications. This study aims to develop a smart pesticide spraying robotic system, which can move to infected plants in the field, identify the type of disease present in the plant, and spray appropriate pesticide. The robotic system consists of a serial manipulator mounted on a tracked vehicle, vision-based disease detection system and spraying system. The SOLIDWORKS modeling software is used for modeling and assembly of the serial manipulator, tracked vehicle, and spraying setup. The main focus of this article is towards the development of the hydraulic circuit and control system for dealing with multiple diseases present in the plants by making the decisions for regulating the flow of pesticide and switching among the pesticides to identify the most appropriate one. The fuzzy logic-based control system is developed and implemented successfully into the experimental setup with the help of MATLAB Simulink to the Arduino hardware interface.
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The authors gratefully acknowledge the financial support of the Ministry of Electronics and Information Technology, Government of India, for carrying out this study.
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Deshmukh, D., Pratihar, D.K., Deb, A.K., Ray, H., Bhattacharyya, N. (2021). Design and Development of Intelligent Pesticide Spraying System for Agricultural Robot. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, TP. (eds) Hybrid Intelligent Systems. HIS 2020. Advances in Intelligent Systems and Computing, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-73050-5_16
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