{"title":"Intelligent Environmental Control in Plant Factories: Integrating Sensors, Automation, and AI for Optimal Crop Production","authors":"Cengiz Kaya","doi":"10.1002/fes3.70026","DOIUrl":null,"url":null,"abstract":"<p>The growing global challenges of environmental degradation and resource scarcity demand innovative agricultural solutions. Intelligent environmental control systems integrating sensors, automation, and artificial intelligence (AI) optimize crop production and sustainability in vertical farming. This review explores the critical role of these technologies in monitoring and adjusting key environmental parameters, including light, temperature, humidity, nutrient delivery, and CO₂ enrichment. Intelligent environmental control systems use real-time data from sensor networks to continuously maintain optimal growing conditions. Sensors measure changes in the environment, such as light intensity and humidity levels. Automation enables tasks to be performed without human intervention, ensuring consistent adjustments to environmental conditions. AI predicts plant responses and enables proactive management strategies in this context. The review also examines how these technologies integrate, highlighting successful case studies and addressing challenges like energy management, scalability, and system harmonization. Looking ahead, AI's potential in predictive maintenance and emerging trends in vertical farming highlight the transformative role of intelligent environmental control in enhancing agricultural efficiency and sustainability.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70026","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food and Energy Security","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fes3.70026","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The growing global challenges of environmental degradation and resource scarcity demand innovative agricultural solutions. Intelligent environmental control systems integrating sensors, automation, and artificial intelligence (AI) optimize crop production and sustainability in vertical farming. This review explores the critical role of these technologies in monitoring and adjusting key environmental parameters, including light, temperature, humidity, nutrient delivery, and CO₂ enrichment. Intelligent environmental control systems use real-time data from sensor networks to continuously maintain optimal growing conditions. Sensors measure changes in the environment, such as light intensity and humidity levels. Automation enables tasks to be performed without human intervention, ensuring consistent adjustments to environmental conditions. AI predicts plant responses and enables proactive management strategies in this context. The review also examines how these technologies integrate, highlighting successful case studies and addressing challenges like energy management, scalability, and system harmonization. Looking ahead, AI's potential in predictive maintenance and emerging trends in vertical farming highlight the transformative role of intelligent environmental control in enhancing agricultural efficiency and sustainability.
期刊介绍:
Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor.
Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights.
Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge.
Examples of areas covered in Food and Energy Security include:
• Agronomy
• Biotechnological Approaches
• Breeding & Genetics
• Climate Change
• Quality and Composition
• Food Crops and Bioenergy Feedstocks
• Developmental, Physiology and Biochemistry
• Functional Genomics
• Molecular Biology
• Pest and Disease Management
• Post Harvest Biology
• Soil Science
• Systems Biology