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  • Produktbild: Agri-Tech Approaches for Nutrients and Irrigation Water Management
  • Produktbild: Agri-Tech Approaches for Nutrients and Irrigation Water Management

Agri-Tech Approaches for Nutrients and Irrigation Water Management

184,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.06.2024

Abbildungen

schwarz-weiss Illustrationen, Raster, schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Shivam Gupta + weitere

Verlag

Taylor & Francis

Seitenzahl

406

Maße (L/B/H)

24/16,1/2,6 cm

Gewicht

910 g

Sprache

Englisch

ISBN

978-1-03-245023-0

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.06.2024

Abbildungen

schwarz-weiss Illustrationen, Raster, schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Verlag

Taylor & Francis

Seitenzahl

406

Maße (L/B/H)

24/16,1/2,6 cm

Gewicht

910 g

Sprache

Englisch

ISBN

978-1-03-245023-0

EU-Ansprechpartner

Taylor & Francis Verlag GmbH
Kaufingerstraße 24
80331 München
DE
GPSR@taylorandfrancis.com

Herstelleradresse

Taylor & Francis Group
5 Howick Place
SW1P 1WG London
UK
GPSR@taylorandfrancis.com

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  • Produktbild: Agri-Tech Approaches for Nutrients and Irrigation Water Management
  • Produktbild: Agri-Tech Approaches for Nutrients and Irrigation Water Management

  • 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 Algorithms in Soil Water Content Prediction at Multiple Depths. Chapter 9. Artificial Intelligence Application in Database Management for SCADA Systems. Chapter 10. Entropy-Weighted-Multi-Criteria Decision-Making (E-MCDM) Approach for Erosion Area Prioritization: Case Study of a Himalayan River Basin. Chapter 11. Role of Urea Super Granule (USG) Applicator in Efficient Management of Nitrogen Fertilizer: Case Study of Rice Farming in Bangladesh. Chapter 12. AI as Improved Agri-Tech Approach for Better Nutrients and Proper Irrigation Water Management: A Comparative Study. Chapter 13. Plasma Technology: An Emerging Tool for Sustainable Agriculture. Chapter 14. Application of Metaheuristic Optimizations for Unconfined Aquifer Parameter Estimation to Improve Irrigation Water Management. Chapter 15. Application of Remote Sensing, GIS, and AI Techniques in the Agricultural Sector. Chapter 16. Flood Modeling Using the AHP Method in a GIS Environment of the Iril River Catchment, Manipur, India. Chapter 17. Agricultural Drought Modelling Through Drought Indices in the Thoubal District, Manipur, India. Chapter 18. Seed Priming: Potential Nutrient Management Tool for Improving Crop Productivity Under Abiotic Stress. Chapter 19. Protected Cultivation: Microclimate-Based Agriculture Under Greenhouse. Chapter 20. Estimation of Groundwater Fluctuation and NDVI Using Geospatial Techniques for Chandigarh City, India. Chapter 21. Holistic Approach for Prediction of Total Nitrogen Based on Machine-Learning Techniques. Chapter 22. Resource Conservation Technologies for Sustainable Management of Soil, Water and Energy in Modern Agriculture.