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Beschreibung
Soil is the very foundation of agriculture, and its health directly determines crop productivity, environmental sustainability, and long-term food security. Yet, despite being one of the most critical resources for human survival, soil remains one of the least understood and least monitored components in modern farming systems. With the global demand for food production steadily rising, farmers and researchers alike face a pressing challenge: how to accurately, affordably, and sustainably assess soil health in real [...] Health Assessment in Smart Farming: FPGA addresses this challenge head-on, presenting a groundbreaking approach that combines deep learning models, image processing techniques, and FPGA-based embedded systems to deliver a portable, real-time soil analysis solution. By integrating artificial intelligence (AI) with cutting-edge hardware platforms, the book introduces a framework that not only advances scientific understanding but also has immediate, practical relevance for farmers, agronomists, environmental scientists, and technologists.
Soil is the very foundation of agriculture, and its health directly determines crop productivity, environmental sustainability, and long-term food security. Yet, despite being one of the most critical resources for human survival, soil remains one of the least understood and least monitored components in modern farming systems. With the global demand for food production steadily rising, farmers and researchers alike face a pressing challenge: how to accurately, affordably, and sustainably assess soil health in real [...] Health Assessment in Smart Farming: FPGA addresses this challenge head-on, presenting a groundbreaking approach that combines deep learning models, image processing techniques, and FPGA-based embedded systems to deliver a portable, real-time soil analysis solution. By integrating artificial intelligence (AI) with cutting-edge hardware platforms, the book introduces a framework that not only advances scientific understanding but also has immediate, practical relevance for farmers, agronomists, environmental scientists, and technologists.
Über den Autor
Dr. Vaishali S. Patil, Assistant Professor of Electronics at Willingdon College, Sangli, specializes in AI, deep learning, and FPGA-based systems. With 15+ years of teaching and research, she has published widely, delivered invited talks, and holds a patent design, advancing innovations in precision agriculture.
Details
Erscheinungsjahr: 2025
Fachbereich: Nachrichtentechnik
Genre: Importe, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9786200698452
ISBN-10: 6200698457
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Patil, Vaishali
Shinde, Santosh
Hersteller: LAP LAMBERT Academic Publishing
Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, ?-1039 Riga, customerservice@vdm-vsg.de
Maße: 220 x 150 x 12 mm
Von/Mit: Vaishali Patil (u. a.)
Erscheinungsdatum: 27.10.2025
Gewicht: 0,304 kg
Artikel-ID: 134301501