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AI-Based Robotic Frameworks for Sustainable Agriculture Supply Chains
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Author(s): H. Shalma (Sphoorthy Engineering College, India)and Jainulabudeen Sak (Anna University, Chennai, India)
Copyright: 2026
Pages: 24
Source title:
Transformative Impact of AI in Supply Chain Management
Source Author(s)/Editor(s): Jabir Arif (Sidi Mohamed Ben Abdellah University, Fez, Morocco)and Fouad Jawab (Sidi Mohamed Ben Abdellah University, Fez, Morocco)
DOI: 10.4018/979-8-3373-0923-1.ch003
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Abstract
Using robotics in agriculture has transformed supply chain management through automation and precision. Robotics improves agricultural production and distribution costs and reliability. Planting, harvesting, sorting, and packing are optimized by automated methods. However, mechanical or technical failures during assembly might affect system accuracy and reliability.In agricultural supply chains, robotics solves occlusion problems, which complicate fruit picking and product sorting. Advanced deep learning architectures help robots discover and distinguish items in complex situations. These technologies improve precision, reducing waste and increasing throughput. Analysis of robotic systems with and without human involvement shows that automation improves agricultural workflow efficiency and uniformity. In natural environments, robotic arms with computer vision algorithms can locate, detect, and harvest crops despite overlapping objects and changeable conditions.
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