Drones in Digital Agriculture

by K S Subramanian, S Pazhanivelan, R Santhi, G Srinivasan

ISBN: 9789354618659
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Imprint : Daya Publishing House
Year : 2024
Price : Rs. 9495.00
Biblio : xii+234p., tabls., figs., col., ind 25 cm

Author Profile

Dr. K.S. Subramanian, Director of Research, Tamil Nadu Agricultural University, Coimbatore, India and awarded Ph.D. at the University of Ottawa, Canada. He has 32 years of research and teaching experiences in TNAU and acquired expertise in the fields of nanotechnology in agriculture and soil biology. Dr. Subramanian is the Founder Head of the Department of Nano Science & Technology, developed research work for Agricultural Nanotechnology, Principal Investigator of several International and National Projects. Dr. S. Pazhanivelan, Professor and Head, Department of Remote Sensing and GIS, TNAU, Coimbatore. He has twenty two years of professional experience, specialization in Remote Sensing, Disaster monitoring, crop insurances and data science. He has completed 14 research projects. He has developed TNAU – RIICE technology of Remote sensing-based crop information for crop insurances, Smart sampling of Crop cutting Experiments using Remote sensing products and Mobile application for ground truth collection for crop monitoring and flood mapping. Dr. R. Santhi, Professor (SS & AC) and Director, Directorate of Natural Resource Management, TNAU, Coimbatore has thirty three years of total experience in teaching, research, extension and administration. She has operated 24 funded projects and has expertise in STCR-IPNS Research for more than 25 years and under her leadership, STCR – IPNS based fertilizer prescriptions for major Agricultural & Horticultural crops has been evolved and released as "TNAU Management Technology" and included in TNAU Crop Production Guide 2020. Mr. G. Srinivasan, Ph.D. Scholar in Agronomy, is pursuing Ph.D. in the Department of Remote Sensing & GIS. He is undertaking research on area and yield estimations in cotton utilizing SAR data and DSSAT Model. His work is of great significance in the spread of cotton area in the State of Tamil Nadu as it is highly varying with the data presented by the crop cutting experiments of the Department of Statistics. Recently, he published a paper on "Drone in Pest Management" in Frontiers in Agronomy.

About The Book

The book is one of the maiden attempts to compile all aspects of applications of unmanned vehicles in precision farming. The book encompasses history of drone's development in the globe, basics and components of drones and application of drones in sowing till harvest, health monitoring, assessment of crop yields, risk assessment, biodiversity besides regulatory guidelines across the globe. Overall, the book covers wholesome package of drones in digital agriculture. The book will serve as a reference guide for students, scholars, researchers, scientists and industries who wish to explore and employ drones in agricultural practices. Since, drone technology is fairly recent, it may be an excellent reference book for emerging technologies in agriculture.

Table of Contents

Preface v Abbreviations ix 1. History of Drone 1 1.1. Genesis of Drone technology – 1.2. Effective Control 2. Why do we Need UAV in Indian Agriculture? 9 2.1. Genesis of Agriculture in India – 2.2. Need for Drones in Agriculture 3. Components and Types of Drones 13 3.1. Components of UAV Systems – 3.2. Types of Drones – 3.3. Design Characteristics of Drones – 3.4. Level of Autonomy – 3.5. Size and Weight – 3.6. Power Source – 3.7. Drone Models – 3.8. Types of Payloads and their Applications – 3.9. European System of Standardization – 3.10. UAV Data Acquisition – 3.11. UAS Data Processing – 3.12. Data Processing Techniques Used Agriculture. 4. Drones for Sowing 35 5. Drones for Nutrient Management 39 5.1. Variable-rate Fertilization – 5.2. Crop Phenotypic Information and Nutritional Status – 5.3. Nitrogen Nutritional Status – 5.4. Real Time Variable Fertilization Systems Based on Crop Phenotypic Information – 5.5. Summary of the Literature Review – 5.6. Application of Drones and Sensors in Real-Time Variable Rate Fertilization Technology – 5.7. Case Studies with Reference to Specific Crops. 6. Drones for Irrigation Management 63 6.1. Barley – 6.2. Grapes – 6.3. Orchards – 6.4. Citrus. 7. Drones for Weed Management 81 7.1. Rice – 7.2. Maize – 7.3. Sunflower – 7.4. Sugarcane – 7.5. Lettuce and Broccoli – 7.6. Algorithm Design. 8. Drones for Pests and Diseases Management 99 8.1. Rice – 8.2. Cotton – 8.3. Chillies – 8.4. Sugarcane 9. Drones for Plant Health Monitoring 129 9.1. Plant Growth Monitoring – 9.2. Plant Population Monitoring – 9.3. Monitoring Plant Diseases – 9.4. Monitoring Physiological Changes in Field Crops – 9.5. Monitoring Physiological Stress in Forests – 9.6. Monitoring Forestry Nurseries– 9.7. Monitoring plant growth through various indices. 10. Drones for Harvesting and Yield Assessment 149 10.1. Rice – 10.2. Maize – 10.3. Maize – 10.4. Wheat and Barley – 10.5. Wheat –10.6. Barley – 10.7. Oats – 10.8. Soybean – 10.9. Rapeseed – 10.10. Cotton – 10.11. Sugarcane – 10.12. Alfalfa – 10.13. Wild Tomato. 11. Application of Drones in Biodiversity 167 11.1. Elephants – 11.2. Waterbird – 11.3. Orthomosaic Images. 12. Bottlenecks in Drone Technology 177 12.1. Technical Decisions – 12.2 Cost – 12.3 Payload – 12.4 Operation – 12.5 Reliability. 13. Regulatory Guidelines for Drones Technology 181 Australia – Brazil – Canada – France – Hong Kong, China – India – Indonesia – Japan – Malaysia – Myanmar – The Philippines – Republic of Ireland – Singapore – South Africa – South Korea – Thailand – United Kingdom – United States – Uruguay Glossary 191 References 199 Index 233