Hyperautomation in Precision Agriculture
Advancements and Opportunities for Sustainable Farming
- 1st Edition - November 27, 2024
- Latest edition
- Editors: Sartajvir Singh, Vishakha Sood, Arun Lal Srivastav, Yiannis Ampatzidis
- Language: English
Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming is the first book to focus on the integration of multiple techniques and technolog… Read more
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).
- Provides a comprehensive overview of the current state-of-the-art of automation in agriculture
- Enables improved productivity and resource optimization
- Presents advanced monitoring/mapping methods in soil properties, nutrients, crop growth, and yield
1. A global overview and the fundamentals of sustainable agriculture
2. Smart Contracts for Efficient Resource Allocation and Management in Hyperautomated Agriculture Information Systems
3. Towards Smart Farming: Applications of Artificial Intelligence and Internet of Things in Precision Agriculture
4. Hyperautomation in agriculture sector by technological devices towards irrigation, crop harvest and storage
5. AI-Powered Agriculture and Sustainable Practices in Developing Countries
Section II: Smart agriculture automation using advanced technologies
6. A light-weight Deep Learning model for plant disease detection in hyperautomation
7. Mapping and Retrieval of Agricultural Parameters using Artificial Intelligence
8. Sustainable Plant Disease Protection Using Machine Learning and Deep Learning
9. Cereal crop yield prediction using machine learning techniques
10. Estimation of soil properties for sustainable crop production using multisource data fusion
Section III: Advances in remote sensing for precision crop production
11. Detecting the stages of Ragi crop diseases using satellite data in villages of Nanjangud taluk
12. Soil and field analysis using unmanned aerial vehicles (UAV) for smart and sustainable farming
13. Crop Land Assessment with Deep Neural Network using Hyperspectral Satellite Dataset
14. Development of Soil moisture maps using image fusion of MODIS and optical dataset
15. Advance remote sensing technologies for crop disease and pest detection
16. Estimating Soil Moisture in Semi-Arid Areas for Winter Wheat Using Sentinel-1 and Support Vector Algorithms
Section IV: Robotic/Digital Process Automation (RPA/DPA) in agriculture and field applications
17. Autonomous Robotic Leaf Retrieval
18. Robotics-assisted precision and sustainable irrigation, harvesting and fertilizing processes
19. Computer Vision Technology for Weed Detection
20. LiDAR/RADAR robots in monitoring and mapping crop growth for sustainable crop production
Section V: Emerging trends and case studies in Hyperautomation of Sustainable Agriculture
21. Is Hyper-automation is playing a significant role in Smart Agriculture?
22. Predictive Irrigation: Current practice and Future Prospects
23. Design and fabrication of quad copter for agriculture seeding
24. hallenges and future trends in the Hyperautomation of Sustainable Agriculture
25. Techniques and applications of deep learning in smart agriculture systems
26. Investigation of Automated Plant disease detection Framework using Machine Learning Classifier with novel Segmentation and Feature Extraction Strategy
27. Hyperautomation in precision agriculture using different unmanned aerial vehicles (UAV)
28. Emerging Trends of hyperautomation in decision-making process & sustainable crop production
29. Remote sensors for hyper-automation in agriculture
- Edition: 1
- Latest edition
- Published: November 27, 2024
- Language: English
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Sartajvir Singh
Dr. Sartajvir Singh is currently serving as Chief Scientific Officer at the Center of Excellence in Socio-Environmental Sustainability for River Sand Mining (SENSRS) and Project Director (ICSSR Project) at Indian Institute of Technology Ropar, India. He is a digital image analyst with expertise in remote sensing and earned his PhD in Electronics & Communication Engineering (Outstanding Thesis Awardee, 2018) after completing his M. Tech (Gold Medalist) and B.Tech with Distinction. He is a Registered Indian Patent & Trademark Agent and a DGCA-approved drone operator, with 70+ innovations (35+ patents granted) and 90+ SCI/Scopus-indexed publications. He has secured over four Crore (INR) research funding, received multiple fellowships, held editorial positions, and is an IEEE Senior Member, advancing electronics, image processing, and geospatial intelligence.
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Vishakha Sood
Dr. Vishakha Sood is working as Scientist at Indian Institute of Technology (IIT), Ropar, Punjab. She has been awarded with Women Scientist (WoS-A) Fellowship from Department of Science & Technology (DST), Govt. of India for three years i.e., 2022-2025. She received her PhD in 2020 for “Detection of Snow/Ice over North Indian Himalayas” using satellite imagery. She has received the M. Tech and B. Tech in Electronics and Communication Engineering from Himachal Pradesh University (in 2008) and M. Tech from Punjab Technical University (in 2011). She has also done MBA (Human Resource) from Institute of Advanced Studies in Education (IASE) Deemed to be University in 2010. She received the "Outstanding Performance Award" in CESA-FIESTA 2023 Symposium from IIT, Ropar. She has more than 10 years of experience in the field of academics, research and administration. She has authored many 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, and digital image analysis. She is IEEE Senior Member and active member of various societies as Indian Society of Remote Sensing (ISRS), Indian Society of Technical Education (ISTE), Punjab Science Congress (Punjab Academy of Sciences) and IEEE Sensors council, Geoscience and Remote Sensing Society Digital Library and IEEE Women in Engineering. She is editing various Special Issues in the Journal Environmental Monitoring and Assessment (EMAS) –Springer and Frontiers in Earth Sciences and in addition, various books with Elsevier.
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Arun Lal Srivastav
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Yiannis Ampatzidis
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.