[download pdf] Greenhouse Engineering:
Greenhouse Engineering: Software-driven Design and Modelling for Optimal Microclimate Control by V.P. Sethi
- Greenhouse Engineering: Software-driven Design and Modelling for Optimal Microclimate Control
- V.P. Sethi
- Page: 646
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781032713953
- Publisher: CRC Press
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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.
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This paper provides an overview of various strategies for controlling greenhouse environments, encompassing structural control, environmental parameter .
A review study on the design and control of optimised greenhouse .
Microclimate is the complex of environmental variables, including temperature, radiation, humidity, and wind, to which the plant is exposed.
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A methodology for model-based greenhouse design: Part 1, a greenhouse climate model for a broad range of designs and climates. Biosystems. Engineering. 2011 .
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Several uncertainties with greenhouse cultivation include climate variability, expected yield, optimum references of microclimate parameters, .
Greenhouse Engineering: Software-Driven Design and Modelling .
書名:Greenhouse Engineering: Software-Driven Design and Modelling for Optimal Microclimate Control,語言:英文,ISBN:9781032713953,頁數:512,作者:Sethi, V. P., .
Results of Simulation and Physical Modeling of the Computerized .
Approaches underlying the study of the computerized monitoring and control system for the greenhouse microclimate parameters are based on modern achievements in .
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The comprehensive software-based approach in this book provides an in-depth exploration of the latest innovations in greenhouse engineering, .
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Greenhouse Engineering: Software-driven Design and Modelling for Optimal Microclimate Control. by V.P. Sethi. ISBN-13: 9781032713953. ISBN-10: 103271395X.
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(2021). Model Selection and Optimal Control Design for Automatic Greenhouse Climate. Control. [Phd Thesis 1 (Research TU/e / Graduation TU/e), .
Greenhouse Crop Simulation Models and Microclimate Control .
In this chapter, with a review of the basics of climate models in greenhouses, the results and application of some climate dynamics models based on the energy .
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Introduction. Most climate control systems in glasshouses are based on single variable regulation using manually tuned two and three term (PI and PID) .
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