Greenhouse Engineering Software-Driven Design And Modelling For Optimal Microclimate Control

The comprehensive software-based approach in this book provides an in-depth exploration of the latest innovations in greenhouse engineering, thus transforming the existing Controlled Environment Agriculture (CEA) to a futuristic Greenhouse Smart Agriculture (GSA), aiding the reader to optimize crop yields, reduce environmental impact, and enhance farm profitability through software decision support systems. From renewable energy solutions and software-driven sustainable practices to AI-powered optimization and integrated smart greenhouse design, it covers the entire spectrum of GSA, including practical knowledge, global case studies, and real-world examples.

Key features:

• Explores innovative renewable energy solutions for Greenhouse Smart Agriculture.
• Implements software-driven sustainable solutions for optimized crop yields and reduced environmental impact.
• Develops innovative control strategies for Greenhouse Smart Agriculture using artificial intelligence, the Internet of Things, and advanced techniques.
• Optimizes greenhouse production through modelling and simulation techniques for enhanced sustainability.
• Designs and implements sustainable greenhouse climate control systems for heating, cooling, and energy efficiency.
• Creates integrated smart greenhouse systems that combine automation, renewable energy, and sustainable design.
• Harnesses the power of artificial intelligence, the Internet of Things, and data-driven approaches to enhance greenhouse optimization and sustainable agriculture.
• Integrates smart soilless greenhouse agriculture and aquaponics using a design-to-software approach.

This book is aimed at university and greenhouse industry researchers, agricultural engineers, and graduate students in fields such as agriculture, agricultural and biosystems engineering, horticulture, environmental science, and renewable energy, as well as professional agricultural policymakers.