This study provides a comprehensive review of the integration and impact of Artificial
Intelligence (AI) in agricultural supply chains, focusing on its role in enhancing demand …

Wireless sensor networks and Internet of Things devices are revolutionizing the smart
agriculture industry by increasing production, sustainability, and profitability as connectivity …

Fruit and vegetable juices contribute to the economic growth of the world beverage industry
due to their unique nutritional value. Artificial intelligence has shown great potential in the R …

In the ever-evolving landscape of agriculture, the integration of artificial intelligence (AI) and
predictive analytics has emerged as a transformative force, offering innovative solutions to …

The growing global challenges of environmental degradation and resource scarcity demand
innovative agricultural solutions. Intelligent environmental control systems integrating …

Quantum computing and natural language processing (NLP) could transform smart farming.
Decision-making and resource management improve with convergence, enabling new …

This research uses a Hybrid Deep Capsule Autoencoder-based Convolutional Neural
Network and an Improved Whale Optimization (IWO) model to classify sugarcane leaf …

As the world population grows, the demand for more food rises. Rural labour shortages and
rising production costs are additional challenges facing food businesses today. Hybrid …

This chapter emphasizes the Find S algorithm to explore the use of cutting-edge
computational techniques to improve agri-business sustainability. Precision farming, data …

This research addresses the gap in precision agriculture by leveraging IoT technology to
enhance crop yield prediction and health monitoring. Agro-Sense integrates real-time data …