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The comprehensive software-based engineering approach in this book provides an in-depth exploration of the latest innovations in greenhouse thus transforming the existing Controlled Environment Agriculture (CEA) to a futuristic Greenhouse Smart Agriculture (GSA) aiding the readers 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.
Explore innovative renewable energy solutions for Greenhouse Smart Agriculture Implement software-driven sustainable solutions for optimized crop yields and reduced environmental impact Develop innovative control strategies for Greenhouse Smart Agriculture using AI, IoT, and advanced techniques Optimize greenhouse production through modelling and simulation techniques for enhanced sustainability Design and implement sustainable greenhouse climate control systems for heating, cooling, and energy efficiency Create integrated smart greenhouse systems that combine automation, renewable energy, and sustainable design Harness the power of AI, IoT, and data-driven approaches to enhance greenhouse optimization and sustainable agriculture Integrate smart soilless greenhouse agriculture and aquaponics using a design-to-software approach
This book is aimed at university and greenhouse industry researchers, agricultural engineers, graduate students in the fields like agriculture, agricultural and biosystems engineering, horticulture, environmental science, renewable energy professionals and students, agricultural policy makers.
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The comprehensive software-based engineering approach in this book provides an in-depth exploration of the latest innovations in greenhouse thus transforming the existing Controlled Environment Agriculture (CEA) to a futuristic Greenhouse Smart Agriculture (GSA) aiding the readers 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.
Explore innovative renewable energy solutions for Greenhouse Smart Agriculture Implement software-driven sustainable solutions for optimized crop yields and reduced environmental impact Develop innovative control strategies for Greenhouse Smart Agriculture using AI, IoT, and advanced techniques Optimize greenhouse production through modelling and simulation techniques for enhanced sustainability Design and implement sustainable greenhouse climate control systems for heating, cooling, and energy efficiency Create integrated smart greenhouse systems that combine automation, renewable energy, and sustainable design Harness the power of AI, IoT, and data-driven approaches to enhance greenhouse optimization and sustainable agriculture Integrate smart soilless greenhouse agriculture and aquaponics using a design-to-software approach
This book is aimed at university and greenhouse industry researchers, agricultural engineers, graduate students in the fields like agriculture, agricultural and biosystems engineering, horticulture, environmental science, renewable energy professionals and students, agricultural policy makers.