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Agri-Tech Approaches for Nutrients and Irrigation Water Management [Paperback]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  103257822X
  • ISBN-10:  103257822X
  • ISBN-13:  9781032578224
  • ISBN-13:  9781032578224
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  406
  • Pages:  406
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  103257822X-11-MPOD
  • SKU:  103257822X-11-MPOD
  • Item ID: 107071265
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Oct 02 to Oct 04
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

This?book includes concept, state-of-the-art methodologies, techniques used in soil nutrients and irrigation water management. It covers soil moisture flow, nutrient dynamics, crop water estimation techniques, crop water productivity, soil health, crop simulation modeling, and remote sensing/GIS applications in irrigation water management.?

Shivam Gupta is an Assistant Professor in the Department of Irrigation and Drainage Engineering, Mahamaya College of Agricultural Engineering and Technology, Acharya Narendra Dev University of Agriculture and Technology, Ayodhya, Uttar Pradesh.

Sushil Kumar Himanshu is an Assistant Professor in the Department of Food, Agriculture and Bio-resources, School of Environment, Resources and Development, Asian Institute of Technology (AIT), Pathum Thani, Thailand.

Pankaj Kumar Gupta is a Ramanujan fellow, at the Indian Institute of Technology (IIT) Delhi, India. He is also an adjunct assistant professor at the University of Waterloo, Canada.

Chapter 1. AI for Sustainable Agriculture in the Face of Climate Change. Chapter 2. Development of a Modeling Approach for Agriculture Crop Type Classification Aiming at Large-Scale Precision Agriculture by Synergistic Utilization of Fused Sentinel-1 and Sentinel-2 Datasets with UAV Datasets. Chapter 3. IoT and Smart Sensor Applications in Nutrient and Irrigation Water Management. Chapter 4. Assessing Nutrient Variability Across Irrigation Management Zones Using Unsupervised Learning and Mixed Models. Chapter 5. Comparative Study on Estimation of Sediment Yield Index Using GIS and Remote Sensing for Soil Erosion Prediction. Chapter 6. Soil Moisture Flows Modeling for Micro-Irrigation and Nutrient Load Management. Chapter 7. Applications of Remote Sensing and GIS Techniques in the Monitoring of Ecosystem Services. Chapter 8. Evaluation of Machine Learning Algorithmlc*

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