Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming is the first book to focus on the integration of multiple techniques and technologies to create an ecosystem sustaining approach that doesn't compromise soil health or environmental safety as it increases crop yield. The book highlights the integration of state-of-the-art tools and working models to address the various challenges in the field of agriculture. It also identifies and discusses the potential and challenges of hyperautomation in sustainable agriculture with respect to efficiency improvement and human enhancement of automated operations.
Hyperautomation is a true digital transformation in sustainable agriculture utilizing advanced techniques such as robotic process automation (RPA), digital process automation (DPA), unmanned aerial vehicle (UAV), controlled-environment agriculture (CEA), remote sensing, internet of things (IoT), crop modeling, precision farming, sustainable yield, image analysis, data fusion, artificial intelligence (AI), machine learning (ML), and deep learning (DL).
Ampatzidis, Yiannis: -
Dr. Ampatzidis is an Associate Professor leading a research and extension precision agriculture engineering program at the Southwest Florida Research and Education Center (SWFREC) in Immokalee, Florida. He received his B.S. in Agriculture Science in 2002 from the Aristotle University of Thessaloniki (AUTH) in Thessaloniki, Greece, with a major in row crops and ecology. After completing his bachelor's degree, he enrolled in the Agricultural Engineering department and completed his M.S. in 2005 with an emphasis on precision agriculture and robotics. At the same time, he completed his second bachelor's degree in Hydraulics, Soil Science and Agricultural Engineering in 2008 (AUTH). He received his PhD in Agricultural Engineering from AUTH in 2010 with an emphasis on precision agriculture and automation for specialty crops. His current research focuses on the mechanical harvesting of specialty crops, mechatronics, artificial intelligence, machine vision, precision agriculture, smart machines (e.g., smart spraying technologies), UAVs, and machine systems.
Singh, Sartajvir: - "
He is a digital image analyst with a passion for remote sensing. Presently, he is working as a Professor and Associate Director (University Institute of Engineering) at Chandigarh University, Punjab, India. He is also practice as an Indian Patent Agent (IN/PA 5806). He received his PhD (Electronics and Communication Engineering - ECE) from I.K. Gujral Punjab Technical University, Punjab, India in 2018. He received his M.Tech (ECE) as a Gold Medalist, and B.Tech (ECE) with Distinction, from Punjab Technical University in 2011 and 2009, respectively. His research interests include electronics, remote sensing, and digital image processing.
"
Sood, Vishakha: -
Dr. Sood is working as Scientist at Indian Institute of Technology (IIT), Ropar, India, under Women Scientist Scheme (WOS) by Department of Science & Technology (DST), Govt. of India. She is also founder of a company named as Aiotronics Automation Pvt.Ltd. supported under Himachal Pradesh CM Startup Scheme. She has more than 10 years of experience in the field of academics and research. She received her PhD in Electronics and Communication Engineering from Chitkara University, Punjab in 2020. She has done B. Tech from Himachal Pradesh University (HPU) Shimla, 2008 and M. Tech from Punjab Technical University (PTU) in Electronics and Communication Engineering,2011. She has also done MBA in Human Resource (HR),2010. She has authored more than 25 SCI-indexed articles (IEEE, T&F, ELSEVIER, and SPRINGER), SCOPUS indexed book chapters and holds many inventions. Her research interests include satellite sensors, remote sensing, scatterometer and digital image analysis.
Srivastav, Arun Lal: - Dr. Arun Lal Srivastav is an Associate Professor in the Department of Applied Sciences at Chitkara University, Himachal Pradesh, India.
