Remote Sensing in Precision Agriculture

Transforming Scientific Advancement into Innovation

1st Edition - October 20, 2023
Editors: Salim Lamine, Prashant K. Srivastava, Ahmed Kayad, Francisco Munoz Arriola, Prem Chandra Pandey
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 0 6 8 - 2
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 4 6 4 - 2

Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceb… Read more

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Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones’ geospatial data. The book presents case studies, new algorithms and the latest methods surrounding crop sown area estimation, determining crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment, and other issues in precision agriculture. This book is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner with its compendium of scientifically and technologically sound information.

Cover image
Title page
Table of Contents
Copyright
List of contributors
About the editors
Preface
Section 1: Introduction and principles of precision agriculture
Chapter 1. Precision agriculture practices from planting to postharvest: scopes, opportunities, and challenges of innovation in developing countries
Abstract
1.1 Precision agriculture for smallholder farming
1.2 Precision equipment, tools, and technical requirements for smallholder farming
1.3 Precision crop breeding
1.4 High-throughput phenotyping to accelerate plant stress breeding
1.5 Precision agriculture technologies for plant disease management
1.6 Major techniques involve in plant disease management
1.7 Nanomaterials for plant disease detection
1.8 Deep learning models for plant disease detection
1.9 Postharvest management
1.10 Varietal classification
1.11 Contaminant detection
1.12 Firmness
1.13 Total soluble solids
1.14 Moisture and dry matter
1.15 Defect identification
References
Chapter 2. Scope, importance, and limitations of precision-agriculture-based practices for crop management: Indian perspective
Abstract
2.1 Introduction
2.2 Components of precision agriculture and their use
2.3 Why precision farming
2.4 Precision-agriculture-based practices for crop management
2.5 Scope of precision agriculture in India
2.6 Challenges and limitations of precision agriculture
2.7 The policy approach to promote precision farming at farm level
2.8 Conclusions
References
Section 2: Precision agriculture practices for soil management
Chapter 3. IoT based soil monitoring for precision agriculture
Abstract
3.1 Introduction
3.2 Proposed system
3.3 Satellite data processing
3.4 Study area
3.5 Result and discussion
3.6 Conclusion
Acknowledgments
References
Chapter 4. LIFE GEOCARBON: carbon farming geolocation support by establishing a spatial soil database management system
Abstract
4.1 Introduction
4.2 Materials and methods
4.3 Expected results
4.4 Conclusions
References
Chapter 5. Mapping and monitoring of salt-affected soils: the contribution of geoinformation
Abstract
5.1 Introduction
5.2 Salt-affected soils: driving factors and present status
5.3 Salt-affected soils assessment and the use of geoinformation
5.4 Concluding remarks
References
Chapter 6. Soil organic carbon sequestration potential dynamics in saline and sodic soils in Greece
Abstract
6.1 Introduction
6.2 Materials and methods
6.3 Results and discussion
6.4 Conclusions
References
Chapter 7. The latest applications of remote sensing technologies for soil management in precision agriculture practices
Abstract
7.1 Introduction
7.2 Active and passive approaches of remote sensing
7.3 Sensor technologies for soil management
7.4 Digital soil mapping
7.5 Conclusion and way forward
References
Chapter 8. Role of precision agriculture in soil fertility and its application to farmers
Abstract
8.1 Introduction
8.2 Elements/components of precision agriculture
8.3 Precision agriculture in soil fertility
8.4 Conclusion
References
Section 3: Precision agriculture practices for irrigation water management
Chapter 9. Remote sensing and geographic information system–based land suitability analysis for precision agriculture: a case of paddy cultivation in East Siang district of Arunachal Pradesh (India)
Abstract
9.1 Introduction
9.2 Materials and methods
9.3 Results
9.4 Discussion
9.5 Conclusion
References
Chapter 10. Precision agriculture practices for smart irrigation
Abstract
10.1 Introduction
10.2 Components of smart irrigation system
10.3 Smart irrigation systems
10.4 Different types of irrigation methods
10.5 Benefits of smart irrigation
10.6 Conclusion and future perspectives
Acknowledgment
References
Chapter 11. Precision irrigation management: a step toward sustainable agriculture
Abstract
11.1 Introduction
11.2 Importance of irrigation management
11.3 Need and advantages of precision irrigation
11.4 Impact of microirrigation in precision agriculture
11.5 Recent advancements in precision irrigation technologies
11.6 Fertigation and precision agriculture
11.7 Impact of precision irrigation on soil properties
11.8 Conclusion
Acknowledgments
References
Chapter 12. Applications of remote sensing in water quality assessment
Abstract
12.1 Introduction
12.2 Basis of remote sensing
12.3 Spectral reflectance curve for water bodies
12.4 RS techniques in water quality monitoring
12.5 Shallow water spectral characteristics
12.6 Groundwater remote sensing
12.7 Water quality parameters
12.8 Sensors for water quality
12.9 Hyperspectral sensors
12.10 Multispectral sensors
12.11 Advantages of using remote sensing in water quality assessment
12.12 Barriers in RS measurements of WQ
References
Section 4: Precision agriculture practices for crop yield management
Chapter 13. Combined use of uncrewed aerial vehicle and satellite remote sensing data to gain crop insights within Colombia
Abstract
13.1 Introduction
13.2 Methodology
13.3 Results
13.4 Discussion and conclusions
Acknowledgments
References
Chapter 14. Prediction of plant pigments for phytosanitary and yield estimation
Abstract
14.1 Introduction
14.2 State of the art
14.3 Materials and methods
14.4 Results and discussion
14.5 Conclusion
References
Chapter 15. Land salinity mapping using Sentinel-1/2 remote sensing imagery: a case study in Da’an, Jilin Province
Abstract
15.1 Introduction
15.2 Research data
15.3 Method
15.4 Results
Reference
Chapter 16. Precision nutrient management for field and horticultural crops
Abstract
16.1 Introduction
16.2 Benefits of precision nutrient management
16.3 Tools and techniques in precision nutrient management
16.4 Conclusion
Acknowledgment
References
Section 5: Precision agriculture practices for crop protection
Chapter 17. Smart farming to support agricultural crop damage assessment: interweaving Earth Observation and IoT data
Abstract
17.1 Introduction
17.2 Use cases and data used
17.3 Methodology and implementation
17.4 Results
Acknowledgment
References
Chapter 18. Detection of grapevine yellows using multispectral imaging
Abstract
18.1 Introduction
18.2 Remote sensing approaches for grapevine yellows detection
18.3 Methods
18.4 Results and discussion
18.5 Conclusions
References
Section 6: Advanced modeling practices in precision agriculture
Chapter 19. Geostatistical modeling—a tool for predictive soil mapping
Abstract
19.1 Introduction
19.2 Digital soil mapping using geostatistics (spatial statistics)
19.3 Brief overview of approaches to soil spatial prediction
19.4 Conclusion
References
Chapter 20. A novel approach for training nonparametric statistical models to retrieve rapeseed fresh above-ground biomass using in situ and Sentinel-2 data
Abstract
20.1 Introduction
20.2 Dataset
20.3 Methodology
20.4 Results
20.5 Discussion
20.6 Conclusion
Acknowledgments
References
Chapter 21. Applications of drones in precision agriculture: future of smart and sustainable farming
Abstract
21.1 Introduction
21.2 Precision farming
21.3 Drones in precision agriculture
21.4 Applications of sensors mounted on unmanned aerial vehicles
21.5 Agricultural applications performed using drones-acquired images
21.6 Other applications using drones
21.7 Limitations of drones
21.8 Conclusion
Acknowledgement
References
Chapter 22. Precision opto-imaging techniques for seed quality assessment: prospects and scope of recent advances
Abstract
Chapter highlights
22.1 Introduction
22.2 Infrared spectroscopy and its application in seeds
22.3 Nuclear magnetic resonance spectrometry
22.4 Spectral imaging in seeds
22.5 Fluorescence and photoluminescence imaging in seeds
22.6 Thermal imaging in seeds
22.7 Light detection and ranging imaging
22.8 Challenges and limitations
22.9 Future prospects
22.10 Conclusion
Acknowledgment
Funding
Abbreviations
References
Chapter 23. Remote sensing–aided disaster risk mitigation in agriculture
Abstract
23.1 Introduction
23.2 What is remote sensing?
23.3 Remote sensing for drought assessment and prevention
23.4 Remote sensing for flood assessment and prevention
23.5 Remote sensing for biotic stress prediction and prevention
23.6 Conclusion
Acknowledgment
References
Index

Salim Lamine

Salim Lamine is a distinguished scientist, serving as a professor and international consultant specializing in remote sensing and precision agriculture. He earned his PhD through a collaborative program between Aberystwyth University in the United Kingdom and the University of Sciences and Technology Houari Boumediene in Algeria. His academic pursuits further extended to the University of Nottingham in the UK, where he delved into GNSS applications, and he gained valuable research experience as an assistant researcher at the University of Aberystwyth. In 2017 Dr. Lamine was honored with the prestigious International Prize for the Environment, “ECOWORLD,” by the Russian Academy of Natural Sciences. He holds master’s degrees from both the Mediterranean Agronomic Institute of Bari in Italy and the Mediterranean Agronomic Institute of Chania in Greece. Currently, he is serving as a member of the editorial board for the prominent Taylor & Francis journal, Geocarto International. Additionally, he extends his expertise as a valued member of the Advisory Panel for several MDPI Journals. Dr. Lamine’s research portfolio encompasses a wide range of multidisciplinary areas, including remote sensing, precision agriculture, hyperspectral imaging, drone-based data analysis, crop yield prediction, field spectroradiometry, water and soil management, agri-biosystems engineering, gis and space mapping, machine learning and SVAT models. Dr. Lamine has made substantial contributions to the academic realm, evidenced by over 30 peer-reviewed publications in esteemed journals and participation in more than 150 international conferences. His scholarly influence also extends to the authorship of several book chapters. He authored a book entitled REMOTE SENSING: Multispectral & Hyperspectral Applications published in 2020.

Affiliations and expertise

Professor in Remote Sensing (RS) and Precision Agriculture (PA), Higher School of Saharan Agriculture Adrar, Adrar, Algeria

Prashant K. Srivastava

Prashant K. Srivastava is working at IESD, Banaras Hindu University, as a faculty and was affiliated with Hydrological Sciences, NASA Goddard Space Flight Center, as research scientist on SMAP satellite soil moisture retrieval algorithm development, instrumentation, and simulation for various applications. He received his PhD degree from the Department of Civil Engineering, University of Bristol, Bristol, United Kingdom. Prashant was the recipient of several awards such as NASA Fellowship, USA; University of Maryland Fellowship, USA; Commonwealth Fellowship, UK; Early Career Research Award (ECRA, DST, India), CSIR, as well as UGCJRF-NET (2005, 2006). He is leading a number of projects funded from reputed agencies in India as well as world. He was also a collaborator with NASA JPL on SMAP soil moisture calibration and validation as well as Scatsat-1, NISAR, AVIRIS-NG missions of India. Prashant made more than 200+ publications in peer-reviewed journals and published 14 books with reputed publishing house such as Springer, Taylor and Francis, AGU-Wiley, and Elsevier, and several book chapters with good citation index. He presented his work in several conferences and workshops and is acting as a convener for the last few years in EGU, Hydroinformatics (HIC), and other conferences. He is also acting as Regional Editor Asia-Geocarto International (T & F), Associate Editor-Journal of Hydrology (Elsevier), GIScience and Remote Sensing (T & F), Remote Sensing Applications: Society and Environment (Elsevier), Sustainable Environment (T & F), Water Resources Management (Springer), Frontiers Remote Sensing, Associate Editor- Remote Sensing-MDPI, Associate Editor- Environment, Development and Sustainability (Springer), Environmental Processes (Springer), Bull of Env and Sci Res.

Affiliations and expertise

Remote Sensing Laboratory, IESD, Banaras Hindu University, Varanasi, India

Ahmed Kayad

Ahmed Kayad is an agricultural engineer advisor for applied research and extension at the University of California, Agriculture & Natural Resources (UC ANR), United States. He holds a PhD in environment resourcesdigital agriculture from the University of Padova in Italy, awarded in 2021. His academic journey began with a BSc in agricultural engineering from Alexandria University, Egypt, followed by an MSc from King Saud University, Saudi Arabia. Ahmed’s career has encompassed various roles, including serving as a farm machinery engineer at CLAAS agent in Egypt from 2010 to 2011, conducting research at the Precision Agriculture Research Chair (PARC) at King Saud University, Saudi Arabia from 2011 to 2018, and pursuing doctoral and postdoctoral research at the Digital Agriculture Lab, University of Padua, Italy, from 2018 to 2022. Additionally, he was a visiting doctoral researcher at the International Maize and Wheat Improvement Center (CIMMYT), Mexico, in 2020, and pursued postdoctoral studies at the University of California, Riverside, United States, from 2022 to 2023. Ahmed published several articles in scientific journals and international conferences, primarily focusing on remote sensing in agriculture, precision agriculture, and digital agriculture. His expertise extends to serving as an expert reviewer for prestigious funding agencies in Europe and the United States, particularly in projects related to digital and precision agriculture. Ahmed’s research is centered on crop yield monitoring, weed detection, farm machinery, and the application of drones and sensors in agriculture.

Affiliations and expertise

researcher in DIGITAL AGRICULTURE LAB at the University of Padova, Italy.

Francisco Munoz Arriola

Francisco Mun˜oz-Arriola is an associate professor in hydroinformatics and integrated hydroclimate at the University of Nebraska-Lincoln and adjunct faculty in the Department of Biosystems Engineering at Universidade do Sao Paulo. Francisco has been a volunteer for science at the US Geological Survey and national researcher at Mexico’s National Council of Science and Technology. He is also a fellow of the Robert B. Daugherty Water for Food Global Institute and the Public Policy Center. He has been a member of the American Meteorological Society’s Water Resources Committee for 5 years. Francisco has worked on the diagnostics and predictability of natural and altered states of biogeochemical cycles and the water continuum from the atmosphere to the aquifer. His research focuses on the predictability of hydrometeorological and climate extremes and their impact on water and agricultural resources, the development of information technologies and models. His collaborative network encompasses more than 20 countries in Asia, Europe, and the United States

Affiliations and expertise

Associate Professor, Department of Biological Systems Engineering and the School of Natural Resources, University of Nebraska-Lincoln, USA

Prem Chandra Pandey

Dr. Prem Chandra Pandey received PhD from the University of Leicester, United Kingdom, under Commonwealth Scholarship and Fellowship Plan. Currently, he is working as an assistant professor at the Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence (Deemed to be University), UP, India. Previously, he has been associated with Banaras Hindu University, India, as an SERB-NPDF fellow. He received BSc and MSc degrees from Banaras Hindu University and MTech degree (Remote Sensing) from Birla Institute of Technology, India. He has worked as a professional research fellow on remote sensing applications in the National Urban Information System funded by NRSC Government of India. He has been a recipient of several awards including Commonwealth Fellow, United Kingdom, INSPIRE fellow GoI, MHRD-UGC fellow GoI, Malviya Gold Medal from Banaras Hindu University, SERB-NPDF from Government of India, and Young Investigator Award. Dr. Pandey is working in three projects related to monitoring of wetlands/Chilika lake mainly focusing on Ramsar sites along with other natural resourcesbased research work funded by NGP and SERB Government of India. He has published more than 50 peerreviewed journal papers, seven edited books, several book chapters, and presented his work in national and international conferences. He is serving as a member of editorial board for Geocarto International journal, Taylor & Francis, Sustainable Development (Wiley- IF 12.5) and acted as a guest editor for Remote Sensing,

Affiliations and expertise

Assistant Professor, Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence (Deemed to be University), India

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Remote Sensing in Precision Agriculture

Transforming Scientific Advancement into Innovation

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Institutional subscription on ScienceDirect

Salim Lamine

Prashant K. Srivastava

Ahmed Kayad

Francisco Munoz Arriola

Prem Chandra Pandey