Häftad, Engelska, 2026

Precision Technologies for Digital Agriculture

Harnessing IoT, Big Data, Crop Modeling, and AI for Agricultural Production

Av Sushil Kumar Himanshu, Hemendra Kumar, Pankaj Kumar Gupta

2649 kr

Beställningsvara. Skickas inom 11-20 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Beskrivning

Precision Technologies for Digital Agriculture investigates the growing role of computational and connected approaches in contemporary agricultural environments, bringing together recent findings in artificial intelligence, sensing infrastructures, agroecosystem modeling, and data analytics to illustrate decisive shifts toward more accurate, forward-looking, and responsive decision-making.

Early chapters set out the theoretical and technical underpinnings of digital and precision agriculture, addressing automation, data stewardship, privacy, and the development of dependable AI-based tools. These foundations support a detailed overview of key technological building blocks, including remote and proximal sensing, geospatial platforms, machine vision, digital twins, and the Internet of Living Things, with emphasis on their contribution to integrated system management and optimized resource allocation.

Later sections concentrate on applied methods across field operations. Topics include climate-adaptive, smart irrigation, soil and microbial diagnostics, UAV-enabled monitoring, and algorithmic frameworks for yield estimation and nutrient regulation. Across these chapters, attention is given to both implementation constraints and enabling factors, including interoperability, data security, and scalability.

The volume concludes with regionally grounded case studies and economic assessments that explore adoption strategies, governance arrangements, and cost-benefit considerations across diverse crops and production settings. Together, these cutting-edge analyses provide a structured assessment of how digital technologies are being translated into transformative agricultural practice, and of the contextual conditions under which their effective use can be fully realized.

Covers the complete lifecycle of agricultural technology-from system design and validation to deployment and scaling-supporting more realistic planning and evaluation of digital solutions
Highlights interdisciplinary methods that combine biological, engineering, and data-centric perspectives, empowering more robust interpretation of complex agricultural processes and datasets
Facilitates resilient food production configurations by demonstrating how precision-enabled procedures can balance sustainability with measurable gains in output and efficiency

Produktinformation

Utgivningsdatum: 2026-09-21
Mått: 152 x 229 x 26 mm
Vikt: 450 g
Format: Häftad
Språk: Engelska
Antal sidor: 436
Förlag: Elsevier Science
ISBN: 9780443405136

Utforska kategorier

Mer information

Dr. Sushil Kumar Himanshu is an Associate Professor and Deputy Dean at the Faculty of Food, Agriculture, and Natural Resources, Asian Institute of Technology (AIT), Thailand. He obtained his M.Tech in Hydrology and PhD in Water Resources Development and Management from the Indian Institute of Technology (IIT) Roorkee and conducted postdoctoral research at Texas A&M University. Dr. Himanshu’s research focuses on the applications of generative AI, remote sensing, and modeling applications for climate-smart water management. His research has been funded by ADB, World Bank, UN-FAO, USDA, and other agencies to support agricultural and aquacultural sustainability, food security, and water security. He is a co-editor of the Elsevier book Advances in Remediation Techniques for Polluted Soils and Groundwater. Dr. Hemendra Kumar is a precision agriculture specialist at the College of Agriculture and Natural Resources, University of Maryland College Park. His extensive experience and international exposure have profoundly influenced his innovative approaches to precision agricultural research and advanced irrigation water management. Dr. Kumar's work focuses on optimizing irrigation timing and thresholds through data collected from fields. His innovative methods include optimizing variable rate irrigation scheduling based on management zones. His research spans precision water management, smart agricultural technologies, climate-smart irrigation management, soil moisture optimization, agricultural water management, digital agriculture, hydrology, water quality, and surface and subsurface hydrologic modeling. Central to his work is the utilization of sensors, technologies, and data-driven artificial intelligence and machine learning methodologies to enhance water management in agriculture, including precision irrigation and drainage water management. Dr. Pankaj Kumar Gupta is a Ramanujan fellow at the Indian Institute of Technology (I.I.T.) Delhi, India and post-doctoral fellow in the faculty of environment, University of Waterloo, Canada. His current research focuses on investigating the behavior of pollutants in peatlands (Canada) and mineral aquifers (India) under dynamically fluctuating groundwater table conditions. Majority of his works focus on two areas: (1) understanding the occurrence of bio-geo-chemical interactions when pollutants migrate into groundwater systems; and (2) developing remediation strategies. Dr. Gupta hsa in-depth experience in incorporating novel technologies to map soil-water systems in more than 30sites in India. He is passionate about interdisciplinary research and teaching to understand multi-scale interactions between different components of the subsurface environment, especially the soil- groundwater-pollutant-microbes system.

Recensioner i media

Select Guide Rating

Butikslager

Ej i lager i butik.

Betyg & recensioner

0 recensioner

Inga recensioner tillgängliga.