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@article{187244,
        author = {Pooja Rathod and Kaushal Patel},
        title = {A Global Perspective on Enhancing Productivity, Efficiency, Quality, and Sustainable Development in Agriculture and Food Processing Industries},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {5240-5245},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187244},
        abstract = {Artificial Intelligence (AI) is redefining global agriculture and food processing through data-driven automation, precision analytics, and sustainable resource utilization. Rapid advances in machine learning, deep learning, IoT-enabled sensing, and computer vision have enabled highly accurate yield forecasting, plant disease diagnostics, precision irrigation, and optimized soil–water management [1], [2]. In food processing, AI enhances product quality, improves food safety, reduces contamination, automates sorting and packaging, and strengthens supply chain traceability [8], [10]. Global studies reveal that AI-enabled supply chain optimization can increase operational efficiency by 30–40%, predictive maintenance can reduce machine downtime by 25–35%, and AI-based waste-reduction models can cut food wastage by up to 60% [9], [12].
Despite its transformative potential, challenges persist in terms of data scarcity, high implementation cost, interoperability issues, and skill gaps [4], [11]. Nevertheless, AI-IoT-Big Data convergence, blockchain-based transparency, and Explainable AI (XAI) promise more resilient, transparent, and sustainable future food systems. This paper presents a detailed, globally contextualized analysis of AI applications across the “farm-to-fork” lifecycle, including tables, conceptual figures, case studies, and integrated insights to support academic and industrial research.},
        keywords = {Artificial Intelligence, Agriculture, Food Processing, Sustainability, Machine Learning, Operational Efficiency, Supply Chain Optimization, Food Safety},
        month = {November},
        }