Advancements in Agricultural Automation: A Comprehensive Review of Artificial Intelligence and Humanoid Robotics in Farming

Author:

Arockia Doss Arockia Selvakumar1ORCID,Jeyabalan Abarna2,Borah Priti Rekha3,Lingampally Pavan Kalyan4,Schilberg Ing. Daniel5

Affiliation:

1. Design and Automation Research Group, School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

2. School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

3. Senior Software Consultant, Chennai, Tamil Nadu, India

4. School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

5. Department of Mechatronics and Mechanical Engineering, Bochum University of Applied Sciences, Bochum, Germany

Abstract

This paper discusses about the modern techniques implemented in the field of agriculture which shaped the traditional farming to the smart farming (Agriculture 4.0). The rapid rise in the global population is one among the main reasons, besides monitoring of crops health and yield requires a huge labor force, which is also another reason for promoting intelligent systems into agriculture sector. Conventional farming methods are not suitable to meet this demand, which led robotics to associate with on-field agriculture by means of robot-based technologies like wheeled robots, ground vehicles (manned and unmanned) and aerial vehicles (manned and unmanned) that led to explore the possible advancement in agriculture 3.0. Currently, the evolutionary techniques, such as Artificial Intelligence (AI) and IoT, are implemented in robotic vehicles to make them intelligent systems. Due to unprecedented climatic change and polluted ground water for the past few decades, the crops are being infested with new varieties of diseases. This requires new image processing techniques to classify the diseases based on color, texture and, shape of leaves. The incorporation of image processing technique into AI aids in deciding the appropriate amount of herbicide supplement to the plant based on the prediction of plant growth.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Mechanical Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Challenges in Implementing AI Technology Smart Farming in Agricultural Sector – A Literature Review;International Journal of Management, Technology, and Social Sciences;2024-06-30

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