IoT and AI in Agriculture: Strategies to Develop Smart Agricultural Space for In-field and In-house Crop Production

Author:   Tofael Ahamed
Publisher:   Springer Verlag, Singapore
ISBN:  

9789819552177


Pages:   362
Publication Date:   03 January 2026
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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IoT and AI in Agriculture: Strategies to Develop Smart Agricultural Space for In-field and In-house Crop Production


Overview

This book discusses how Artificial Intelligence (AI) and Internet of Things (IoT) technologies can be utilized to optimize orchard production, management, and conservation to achieve sustainable agriculture development goals. To achieve sustainable development of the next generation of agriculture, it is essential to use modern technology tools to enhance orchard production efficiency, improve fruit quality, and promote intelligent orchard management. Recent developments in AI and IoT are featured in the book, providing solutions to primary orchard and horticultural challenges such as pest and disease management, weed control, and canopy management. As climate change continues to pose challenges to agriculture, highly affecting temperature fluctuations and changes in rainfall patterns, the book offers innovative solutions to enhance productivity, sustainability, and resilience in farming operations. By leveraging AI and IoT, the book seeks to empower the agriculture industry with the tools and strategies needed to adapt to changing environmental conditions and optimize resource use. The intersection of AI, IoT, and agriculture is a critical focus in the current era, where food security, climate change, and sustainability are top global priorities. With the agricultural sector facing unprecedented challenges due to changing climate conditions, the integration of advanced technologies offers a pathway to resilience and sustainability. This book is timely as it addresses the urgent need for innovation in agriculture, providing actionable strategies to help farmers and agricultural managers navigate the complexities of modern farming while safeguarding the environment. This publication is particularly important now, as it contributes to the broader discourse on how technology can support sustainable development goals and ensure a stable food supply for the growing global population.

Full Product Details

Author:   Tofael Ahamed
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819552177


ISBN 10:   9819552176
Pages:   362
Publication Date:   03 January 2026
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Author Information

Tofael Ahamed is an Associate Professor from Institute of Life and Environmental Sciences, University of Tsukuba, Japan. He performs research in the field of precision agriculture technology, agricultural robotics and decision support systems. Tofael focuses on the holistic approach of smart application using Internet of Things (IoT) and Artificial Intelligence (AI) in agriculture, where crop, orchard and livestock production varies spatially and temporally within the field boundaries depending on the soil, nutrient, and environmental conditions. Tofael is a member of American Society of Agricultural and Biological Engineers (ASABE), Japanese Society of Agricultural Machinery and Food Engineers (JSAM), Japanese Society of Agricultural Information (JSAI) and Japan Section of Regional Science Association (JSRSAI). He is also serving as one of the Associate Editors for Computer and Electronics in Agriculture (Elsevier), Agricultural Information Research (JSAI), Editorial Member for Asia-Pacific Journal of Regional Science (Springer-Nature).

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