Dr. Sartajvir Singh is an accomplished academician at Indian Institute of Technology (IIT) Ropar, India, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806) Registered Trade Mark Agent (TMA 2646). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 95 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books and Special Issues with publishers like Wiley, Nature, De Gruyter, Bentham Science, Springer, Elsevier, CRC, and Apple Academic Press.
Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming
Price: 200 $ | Publisher: elsevier
Editors: Sartajvir Singh, Vishakha Sood, Arun Lal Srivastav, Yiannis Ampatzidis
Release Date: 22 Nov 2024 | Copyright: © 2024 Elsevier | Language: English | Categories: Hyperautomation, Artificial Intelligence, Remote Sensing, Precision Agriculture, UAV, IoT, Cloud computing
ISBN: 9780443241390 | 9780443241406 | DOI:
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).
Buy NowChapter 1: A global overview and the fundamentals of sustainable agriculture
Authors: Kandiah Pakeerathan
Chapter 2: Smart contracts for efficient resource allocation and management in hyperautomated agricultural information systems
Authors: Fredrick Ishengoma
Chapter 3: Towards smart farming: applications of artificial intelligence and internet of things in precision agriculture
Authors: Maged E.A. Mohammed, Muhammad Munir
Chapter 4: Hyperautomation in agriculture sector by technological devices toward irrigation, crop harvest, and storage
Authors: Ramesh Chandra Nayak, Huzaifa Fidvi, Mahesh Vasantrao Kulkarni, Manmatha Kumar Roul, Saroj Kumar Sarangi
Chapter 5: Artificial intelligence-powered agriculture and sustainable practices in developing countries
Authors: Sandhya Avasthi, Ritu Chauhan, Suman Lata Tripathi
Chapter 6: A light-weight deep learning model for plant disease detection in hyperautomation
Authors: Earnest Paul Ijjina, Suresh Babu Erukala, Victoria Susan Ijjina
Chapter 7: Mapping and retrieval of agricultural parameters using artificial intelligence
Authors: Gurwinder Singh, Vishakha Sood, Sartajvir Singh, Neelam Dahiya
Chapter 8: Sustainable plant disease protection using machine learning and deep learning
Authors: Kartavya Mathur, Eti Sharma, Nisha Gaur
Chapter 9: Cereal crop yield prediction using machine learning techniques
Authors: Sudhir Kumar Mohapatra, Belete Asmare, Kula Kekeba, Aliazar Deneke Deferisha
Chapter 10: Estimation of soil properties for sustainable crop production using multisource data fusion
Authors: Nikolaos L. Tsakiridis
Chapter 11: Detecting the stages of ragi crop diseases using satellite data in villages of Nanjangud Taluk
Authors: Jayanth J., Ravikiran H.K., Shyamala C., Dileep R.
Chapter 12: Soil and field analysis using unmanned aerial vehicles for smart and sustainable farming
Authors: Shirisha Reddy Karupakula, Bhargav Reddy Maram, Vishram Ram
Chapter 13: Crop land assessment with deep neural network using hyperspectral satellite dataset
Authors: Neelam Dahiya, Gurwinder Singh, Sartajvir Singh, Vishakha Sood
Chapter 14: Development of soil moisture maps using image fusion of SCATSAT-1 and MODIS Dataset
Authors: Ravneet Kaur, Raman Maini, Reet Kamal Tiwari
Chapter 15: Advance remote sensing technologies for crop disease and pest detection
Authors: Chetan Chauhan, Varsha Rani, Mukesh Kumar
Chapter 16: Estimating soil moisture in semiarid areas for winter wheat using Sentinel-1 and support vector algorithms
Authors: Ezzahar Jamal, Chehbouni Abdelghani, Ouaadi Nadia, Madiafi Mohammed, Khabba Said, Er-Raki Salah, Laamrani Ahmed, Chabaane Zohra Lili, Chakir Adnane, Zribi Mehrez
Chapter 17: Design, integration, and field evaluation of a robotic leaf cutting and retrieving system
Authors: Amel Dechemi, Tomas Olvera Hale, Christopher Eng, Konstantinos Karydis
Chapter 18: Robotics-assisted precision and sustainable irrigation, harvesting, and fertilizing processes
Authors: P. Kanaga Priya, A. Reethika, G. Vijaykumar, H. James Deva Koresh
Chapter 19: Computer vision technology for weed detection
Authors: Jun Ni, Ke Xu
Chapter 20: Light detection and ranging/radio detection and ranging robots in monitoring and mapping crop growth for sustainable crop production
Authors: Sahana B. Rai, Sneha Parameshwar, Gautam M
Chapter 21: Is hyperautomation playing a significant role in smart agriculture?
Authors: Somayya Madakam, Rohit Sharma, Shridhar Samant
Chapter 22: Predictive irrigation: current practice and future prospects
Authors: Subhrajyoti Mishra, Sibabrata Biswal, Anuleho Biswas, Abhijit Chakraborty, Subhankar Mishra
Chapter 23: Design and development of a quadcopter for agricultural seeding
Authors: Himam Saheb Shaik
Chapter 24: Challenges and future trends in the hyperautomation of sustainable agriculture
Authors: Vijaya Ilango
Chapter 25: Techniques and applications of deep learning in smart agriculture systems
Authors: Senthil Kumar Chandrasekaran, Vijay Anand Rajasekaran
Chapter 26: Investigation of automated plant disease detection framework using machine learning classifier with novel segmentation and feature extraction strategy
Authors: Karthickmanoj Ravichandran, S. Aasha Nandhini, T. Sasilatha
Chapter 27: Hyperautomation in precision agriculture using different unmanned aerial vehicles
Authors: Kanmani Jayaprakash, Babitha Ganesh, Aripekatta Mohan Kavya
Chapter 28: Emerging trends of hyperautomation in decision making process and sustainable Crop Production
Authors: Deepika Prabhakar, Neeta B Malvi, Sahana B. Rai, Anusha LS, Sai Priya L, Basavaneni Silpa
Chapter 29: Remote sensors for hyperautomation in agriculture
Authors: Suman Lata Tripathi, Sandhya Avasthi, Deepika Ghai, Mufti Mahmud
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