Tools and Technologies for Agriculture 4.0

1. Auflage 2027
ISBN: 978-1-032-75973-9
Verlag: Taylor & Francis

Buch, Englisch, 260 Seiten, Format (B × H): 156 mm x 234 mm

Tools and Technologies for Agriculture 4.0 demonstrates how smart agriculture enables farmers to achieve economic benefits by enhancing yield and increasing the size and quality of products with minimum cost. It talks about the usage of Internet of Things technology, sensors, remote sensing, digital image processing, artificial intelligence, deep learning, cloud computing, robotics, and embedded systems in smart farming.

Key features-

- Discuss soil quality management, soil quality measurement through the Internet of Things, and water quality evaluation using remote sensing.

- Covers satellite-based vehicle guiding systems, cyber-physical systems for sowing, and movement control with DC motors.

- Presents the use of information and communications technologies in irrigation, variable rate irrigation, drip irrigation, and sprinkler irrigation.

-Explains deep water culture (DWC) system, ebb and flow system, nutrient film technique, and aeroponic system.

-Illustrates segmentation-based techniques, region-growing-based algorithms, feature extraction techniques, and feature fusion.

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, smart grids, environmental engineering, agricultural engineering, computer science, and engineering.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Saini, Mukesh

Goel, Neeraj

Singh, Simrandeep

Inhaltsverzeichnis

1. Traditional Approach. 2. Water/Soil Suitability for Cultivation. 3. Sowing-Plowing. 4. Water Management. 5. Plant Growth Monitoring and Management. 6. Crop Protection. 7. Harvesting Technologies. 8. Stubble Management. 9. Supply Chain and Data Management. 10. Key Technologies and Hardware in Precision Agriculture. 11. Challenges. 12. Case Studies.

Über Autor(innen)

Mukesh Kumar Saini is currently working as an assistant professor, in the Department of Computer Science and Engineering, at the Indian Institute of Technology Ropar, India. His areas of research include surveillance, agriculture automation, automatic movie-making, anomaly detection, and information fusion. He has taught courses such as Introduction to Agriculture cyber-physical systems, data structures, computer architectures, multimedia computing, and applications. He has published research papers in journals and conferences of national and international repute.

Neeraj Goel is presently working as an assistant professor, in the Department of Computer Science and Engineering, at the Indian Institute of Technology Ropar, India. He has more than 12 years of experience in academia and industry with a strong understanding of system-level design flows, VLSI/FPGA design flows, and software development processes. His research interests are in processor architecture, embedded systems, and applied machine learning for agriculture applications. He has published research papers in journals and conferences of national and international repute. He has taught courses including system-level design and modeling, low-power design, digital logic design, and advanced computer architecture.

Simrandeep Singh is currently working as a Postdoc fellow at the Indian Institute of Technology Ropar, India. He worked as an associate professor, in the Department of Electronics and Communications Engineering, at Chandigarh University, Chandigarh, India. He published 17 SCI-indexed research papers, 19 Scopus-indexed papers, 2 Patents, and more than 50 research publications in various international and national journals and conferences. His current research interests include soft computing, diatom analysis, digital image processing, image fusion, edge-preserving filters, high dynamic range imaging, and tone mapping.