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Digitalization of SCM in the Agriculture Industry
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Author(s): Debankur Das (KIIT University, India), Anirban Roy (KIIT University, India), Ayan Chaudhuri (KIIT University, India), Sushanta Tripathy (KIIT University, India), Deepak Singhal (KIIT University, India)and P. Chandrasekhar (KIIT University, India)
Copyright: 2024
Pages: 22
Source title:
Advanced Computational Methods for Agri-Business Sustainability
Source Author(s)/Editor(s): Suchismita Satapathy (KIIT University (Deemed), India)and Kamalakanta Muduli (Papua New Guinea University of Technology, Papua New Guinea)
DOI: 10.4018/979-8-3693-3583-3.ch010
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Abstract
The study examines the impact of digitization on traditional agri-food supply chains, focusing on the utilization of Industry 4.0 and the internet of things (IoT). Precision agriculture, coupled with IoT, addresses challenges in the industry, aiming to enhance productivity. Smart farming leverages drones, AI, big data, and IoT to optimize farm operations, utilizing RFID and barcodes for data collection. IoT sensors enable informed decision-making by monitoring crop conditions. AI and IoT streamline post-harvest processes, enhancing food safety and reducing waste through automation. Industry 4.0 solutions integrate big data, IoT, and mechatronics for real-time monitoring, facilitating agile supply chain management. The study extends its insights to India's agri-food supply chain digitalization, emphasizing hurdles like limited budgets, adverse weather, and farmer reluctance. It underscores cybersecurity, and environmental concerns, and advocates for government support, education, and awareness initiatives.
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