AI-driven grain storage solutions: Exploring current technologies, applications, and future trends

IF 2.7 2区农林科学 Q1 ENTOMOLOGY

Journal of Stored Products Research Pub Date : 2025-02-16 DOI:10.1016/j.jspr.2025.102588

T. Anukiruthika , D.S. Jayas

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引用次数: 0

Abstract

The integration of artificial intelligence (AI) and machine learning (ML) technologies is revolutionizing the food grain industry, particularly in the storage and quality management. This work provides a comprehensive review on the integration of AI and ML in the food grain industry, focusing on current technologies, applications, and future advancements. Various AI technologies including artificial neural networks (ANNs), fuzzy logic systems, and ML methods such as deep learning, supervised learning, and anomaly detection have been discussed. The practical applications of these technologies in addressing critical areas such as pest and insect damage detection, grain classification, crop disease detection, mycotoxin contamination, and supply chain management are highlighted. Applications of innovative technological approaches, including edge computing, digital twins, Internet of Things (IoT), and blockchain, have been discussed for their impact on enhancing grain storage quality management. The review also critically examines the challenges and limitations associated with AI and ML, such as data privacy, inaccuracies, and regulatory concerns. In addition, the emerging trends that are set to revolutionize grain quality management such as smart sensors, robotics, remote sensing, and augmented reality are discussed. By synthesizing current knowledge and future prospects, this review aims to provide a holistic understanding of AI's transformative potential in the grain industry.

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来源期刊

Journal of Stored Products Research 生物-昆虫学

CiteScore

5.70

自引率

18.50%

发文量

112

审稿时长

45 days

期刊介绍： The Journal of Stored Products Research provides an international medium for the publication of both reviews and original results from laboratory and field studies on the preservation and safety of stored products, notably food stocks, covering storage-related problems from the producer through the supply chain to the consumer. Stored products are characterised by having relatively low moisture content and include raw and semi-processed foods, animal feedstuffs, and a range of other durable items, including materials such as clothing or museum artefacts.