Cutting-Edge Technologies in Grain Drying: Innovations for Efficiency, Quality, and Sustainability

Dear Colleagues, 

Grain drying is a critical postharvest operation that directly influences grain quality, storage stability, energy consumption, and overall supply chain efficiency. This Special Issue aims to showcase emerging technologies and innovative approaches that are reshaping traditional grain drying systems into more efficient, intelligent, and sustainable processes. The focus includes advanced drying methods, energy optimization, modeling and simulation, hybrid and solar-assisted systems, sensor-based monitoring, and the integration of digital technologies such as artificial intelligence (AI), machine learning, machine vision, Internet of Things (IoT), and automation.

The scope of this Special Issue spans experimental research, computational studies, technology validation, and practical applications across diverse climatic conditions and grain types. Contributions from academic researchers, industry experts, and interdisciplinary collaborations are encouraged.

The purpose of this Special Issue is to highlight transformative engineering solutions that address key challenges in grain drying such as non-uniform drying, high energy use, and quality degradation while supporting global goals for climate-resilient and resource-efficient food systems.

This collection will complement the existing literature by offering new insights into underexplored areas like AI-driven process control, sensor fusion, and renewable-energy-integrated drying. It will serve as a valuable resource for engineers, researchers, and practitioners seeking state-of-the-art solutions in postharvest grain handling.

Dr. Shubham Subrot Panigrahi
Dr. Kaushik Luthra
Dr. Griffiths Gregory Atungulu
Guest Editors

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