Agri-informatics and Eco-friendly Innovations for a Secure Food Future
Food security is a critical global challenge, aiming to provide sufficient and healthy food for all. The United Nations has set Sustainable Development Goals (SDGs) to achieve global prosperity while ensuring environmental protection. Machine learning (ML) techniques play a crucial role in understan...
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| Weitere Verfasser: | , , , , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
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Springer Nature Switzerland : Imprint: Springer,
2025.
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| Ausgabe: | 1st ed. 2025. |
| Schriftenreihe: | Smart Agriculture,
14 |
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| Online-Zugang: | https://doi.org/10.1007/978-3-032-02118-2 |
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Inhaltsangabe:
- Advanced Remote Sensing Techniques for Cropland Monitoring using the AquaCrop Model
- Enhancing Phosphorus Sustainability in Mungbean via PROM and Microbial Inoculants
- Biparjoy Cyclone Assessment
- Crop Acreage and Yield Estimation Using Remote Sensing
- Multi Criteria Land Suitability Analysis for Agriculture in Jalpaiguri District West Bengal Using AHP and GIS Techniques.