Precision Agriculture for Sustainability (eBook, PDF)

Use of Smart Sensors, Actuators, and Decision Support Systems
Redaktion: Khatri, Narendra; Chatterjee, Prasenjit; Iwendi, Celestine; Vyas, Ajay Kumar

• Format: PDF

Produktbeschreibung

This new book delves into how modern technologies-i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning-are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 506
• Erscheinungstermin: 13. Februar 2024
• Englisch
• ISBN-13: 9781000955538
• Artikelnr.: 69570296

Autorenporträt

Narendra Khatri, PhD, is Assistant Professor of Mechatronics at the Manipal Institute of Technology, India. He previously worked on a project for the Centre of Excellence for Digital Farming Solution for Enhancing Productivity Using Robots, Drones, and AGVs. He has published international journal articles and conference papers and is a peer reviewer for several journals. Ajay Kumar Vyas, PhD, is Associate Professor of Information and Communication Technology at the Adani Institute of Infrastructure Engineering, India. He has published books and research articles and is a certified peer reviewer and an editorial board member of several journals. Celestine Iwendi, PhD, is a visiting Professor with Coal City University, Nigeria, and Associate Professor with the School of Creative Technologies at the University of Bolton, UK. He is also a Fellow of the Higher Education Academy and the Institute of Management Consultants. He is a board member of IEEE, Sweden section. Prasenjit Chatterjee, PhD, a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, India. A prolific author and editor, he has published many well-cited research papers and more than 35 books. Dr. Chatterjee is Editorin- Chief of the Journal of Decision Analytics and Intelligent Computing and an editor for several book series.

Inhaltsangabe

PART I: AI IN AGRICULTURE 1. Review of Various Technologies Involved in
Precision Farming Automation 2. State-of-the-Art Technologies for Crop
Health Monitoring in Modern Precision Agriculture 3. Comprehensive Study of
Artificial Intelligence Techniques for Early-Stage Disease Identification
System in Plants 4. Understanding the Relationship between Normalized
Difference Vegetation Index and Meteorological Attribute Using Clustering
Algorithm 5. Agricultural Productivity Improvement: Role of AI and Yield
Prediction Using Machine Learning PART II: ROBOTIC-BASED INNOVATIONS IN
AGRICULTURE 6. Comprehensive Review of Agricultural Robotics: A Post-Covid
Perspective of Advanced Robotics with Smart Farming 7. Autonomous Aerial
Robot Application for Crop Survey and Mapping 8. Structural Design and
Analysis of 6-DOF Cylindrical Robotic Manipulators for Automated
Agriculture 9. Robot-Based Weed Identification and Control System 10.
Design and Development of a Quadruped Robot for Precision Agriculture
Applications 11. Design and Fabrication of a Solar-Powered
Bluetooth-Controlled Multi-Purpose Agro Machine PART III: INTELLIGENT
COMPUTING IN AGRICULTURE 12. Machine Learning and Deep Learning Methods for
Yield Forecasting 13. Supervised Machine Learning for Crop Health
Monitoring System 14. Analyzing the Effect of Climate Change on Crop Yield
Over Time Using Machine Learning Techniques 15. Deep Learning Techniques
for Crop Nutrient Deficiency Detection: A Comprehensive Survey 16. Plant
Disease Detection Techniques: A Survey PART IV: IoT IN AGRICULTURE 17.
Internet of Things Enabled Precision Agriculture for Sustainable Rural
Development 18. Internet of Things: A Growing Trend in India's Agriculture
and Linking Farmers to Modern Technology 19. IoT-Based Condition Monitoring
System for Plantation 20. Smart Farming Based on IoT Edge Computing:
Applying Machine Learning Models for Disease and Irrigation Water
Requirement Prediction in Potato Crop Using Containerized Microservices 21.
Smart Sensors for Soil Health Monitoring 22. An IoT-Aided Smart Agritech
System for Crop Yield Optimization 23. FATEH: A Novel Framework for
Internet of Things based Smart Agriculture Monitoring System