Smart Agritech

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Agricultural big data
Agricultural drones
Agricultural productivity
Agricultural robots
Agricultural robots market
Agriculture 4.0
AI
Artificial intelligence in agriculture
automatic-update
Autonomous machinery
Autonomous tractors
B01=Durgesh Srivastava
B01=Korhan Cengiz
B01=Pramod Gaur
B01=Santosh Kumar Srivastava
Category1=Non-Fiction
Category=TV
Category=UK
Category=UKL
Category=UYQ
Climate change mitigation
COP=United States
Cost reduction
Crop monitoring
Crop protection
Data analytics
Data privacy and security
Delivery_Pre-order
Digital agriculture
Energy efficiency
Environmental sustainability
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_tech-engineering
Farm automation
Farm automation software
Farm management software
Food security
Future of agriculture
Internet of Things (IoT)
Internet of Things (IoT) in agriculture
IoT in agriculture market
Irrigation management
Language_English
Livestock monitoring
Machine learning in agriculture
Nutrient management
PA=Available
Precision agriculture
Precision agriculture market
Predictive modeling
Price_€100 and above
PS=Forthcoming
Real-time monitoring
Remote sensing
Resource optimization
Robotics
Robotics in agriculture market
Sensor technology
Smart Agritech
Smart Agritech benefits
Smart Agritech challenges
Smart Agritech implementation
Smart sensors
softlaunch
Soil health
Supply chain management
Sustainable farming practices
Weather forecasting
Yield optimization

Product details

  • ISBN 9781394302956
  • Publication Date: 13 Nov 2024
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Agriculture has always been a vital sector of the global economy, providing food and raw materials for industries and households. However, with the growing population, changing climate conditions, and limited resources, the agriculture sector is facing numerous challenges. To address these challenges, farmers and agricultural companies are turning to advanced technologies such as Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT).

This exciting new volume provides a comprehensive overview of the latest technological advances in agriculture, focusing on the use of these three cutting-edge technologies. The book will explore the potential benefits of these technologies in improving agricultural efficiency, productivity, and sustainability.

Whether for the veteran engineer, scientist in the lab, student, or faculty, this groundbreaking new volume is a valuable resource for researchers and other industry professionals interested in the intersection of technology and agriculture.

Santosh Kumar Srivastava, PhD, has been an assistant professor in the Department of Computer Science and Engineering, School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India, since 2022. He completed his PhD in Computer Science and Engineering in 2021 from Shri JJT University, Jhunjhunu, Rajasthan, India. He has 20 years of IT administration, research and academic experience and has published more than 15 papers in reputed scientific journals and conferences. He also has five patents to his credit and is a member of IEEE, ACM, and other professional societies.

Durgesh Srivastava, PhD, is an associate professor at Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. He received his PhD degree in computer science and engineering from IKG Punjab Technical University, Jalandhar, Punjab, India in 2020. He has over 14 years of research and academic experience and has published more than 30 papers in reputed scientific journals and conferences. He has published several patents, and one book.

Korhan Cengiz, PhD, isan associate professor in the department of Computer Engineering, Istinye University, Istanbul, Turkey. He earned his PhD in electronics engineering from Kadir Has University, Turkey in 2016. He has published more than 40 articles in scientific journals, he has five international patents, published more than ten book chapters, and one book. He has edited over 20 books and is the Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Potentials Magazine, and holds editor positions with other reputed scientific publishers.  He has presented more than 40 keynote talks in reputed conferences, and he has earned numerous awards for his research.

Pramod Gaur, PhD, is an assistant professor of computer science in the Department of Computer Science, BITS Pilani Dubai Campus, Dubai, UAE. He received his PhD from Ulster University, U.K., in 2018. Previously, he also worked as Assistant Professor at the LNMIIT, Jaipur and Postdoctoral RA in Neuro-Imaging Technology with the Intelligent Systems Research Centre, Ulster University. His research interests include brain–computer interface, the analysis of non-stationary signals, and machine learning.