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Robots and Drones in Agriculture—A Survey

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Computer Vision and Machine Learning in Agriculture

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

The world’s economy predominantly depends on agriculture. Increasing population growth along with an inadequate supply of modern agricultural resources is resulting in famine, which causes a dreadful recession in the economy. To bridge this gap, automation in agriculture has been assembled with diverse robotics technologies by replacing traditional farming processes to improve agricultural efficiency. Robotics in agriculture generally represents the concept of precision agriculture also known as smart farming. It is an intervention technology that operates automated processes by monitoring the use of modern tools such as sensors, robots, and drones via continuous data analysis to optimize the farming process, time, and energy. This chapter presents a technical review on several robotic applications in agriculture such as navigation, grafting, picking, weeding, spraying, harvesting, etc. Besides, we illustrate the commercialization and challenges of real-fields applications of robots and drones including further extensive opportunities in the future.

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  1. Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh

    Rabeya Basri, Fahmida Islam, Sumaita Binte Shorif & Mohammad Shorif Uddin

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  2. Fahmida Islam
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  1. Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh

    Mohammad Shorif Uddin

  2. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Basri, R., Islam, F., Shorif, S.B., Uddin, M.S. (2021). Robots and Drones in Agriculture—A Survey. In: Uddin, M.S., Bansal, J.C. (eds) Computer Vision and Machine Learning in Agriculture. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6424-0_2

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