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Transforming Medicinal Plant Agriculture : Implementing Soil-less Systems and AI Innovations for Smart Farming / / edited by Pankaj Kumar, Ashish R. Warghat



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Autore: Kumar Pankaj Visualizza persona
Titolo: Transforming Medicinal Plant Agriculture : Implementing Soil-less Systems and AI Innovations for Smart Farming / / edited by Pankaj Kumar, Ashish R. Warghat Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026
Edizione: 1st ed. 2026.
Descrizione fisica: 1 online resource (438 pages)
Disciplina: 630
Soggetto topico: Agriculture
Artificial intelligence
Science - Social aspects
Computational intelligence
Agricultural biotechnology
Artificial Intelligence
Science and Technology Studies
Computational Intelligence
Agricultural Biotechnology
Nota di contenuto: Introduction of Soilless Farming -- Vertical Farming for Medicinal Plants: A Smart Approach -- Controlled Environment Agriculture for Medicinal Plant Production -- Salinity Stress Interventions for Crop Productivity in Hydroponics -- Physiological Interventions for Medicinal Plant Productions -- Smart Urban Agriculture for Enhancing Resilience and Sustainability -- Elicitation in Hydroponics for Medicinal Plants Production -- Integration of Robotics in Soilless Cultivation Systems for Medicinal Plant Production -- Nanotechnological Interventions to Enhance Growth and Secondary Metabolite Content in Medicinal Plants -- Smart Hydroponics Monitoring System Using Internet of Things -- AI and Smart Farming: Transforming the Future of Agriculture -- Integrating IoT and Bioinformatics for Nutrient Monitoring in Hydroponic Systems -- Machine Learning Based Management of Climatic Factors in Hydroponic Greenhouses -- IoT-based Nutrient Monitorization in Hydroponics Using Bioinformatics Tools -- Intellectual Property Rights in Smart Agriculture for Medicinal Plants -- Marketing Medicinal Plants in the Digital Age: Strategies for Soilless Cultivation Systems.
Sommario/riassunto: This book offers a comprehensive exploration of how cutting-edge technologies, including soil-less systems and artificial intelligence (AI), are transforming the cultivation of medicinal plants. As global health increasingly relies on natural remedies, the demand for high-quality medicinal plants is surging. Traditional agriculture, with its inherent challenges such as soil degradation, inconsistent yields, and labor-intensive practices, often falls short of meeting this demand. This book addresses these challenges by presenting innovative solutions that enhance the efficiency, sustainability, and quality of medicinal plant production. The main topics covered include vertical farming, AI-driven crop management, nanotechnology applications, advanced sensor technology, hyperspectral imaging, robotics, and drone-based systems. Each chapter delves into a specific technology or system, illustrating how it contributes to the overall goal of optimizing medicinal plant cultivation. The integration of these advanced technologies not only improves the quality and consistency of the products but also supports the shift towards more environmentally friendly farming practices. The target audience for this book includes researchers, agronomists, practitioners, and entrepreneurs who are involved in or interested in the field of smart agriculture and medicinal plant cultivation. It will also appeal to academics and students studying agricultural science, horticulture, or plant biotechnology, as well as industry professionals seeking to implement or invest in advanced agricultural technologies. Through its in-depth analysis and practical insights, this book will serve as a valuable resource for anyone aiming to contribute to or capitalize on the future of smart agriculture.
Titolo autorizzato: Transforming Medicinal Plant Agriculture  Visualizza cluster
ISBN: 981-9539-63-3
9789819539635
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911114510603321
Lo trovi qui: Univ. Federico II
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Serie: Smart Agriculture, . 2731-3484 ; ; 16