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Agricultural-Centric Computation: Second International Conference, ICA 2024, Delhi, India, May 2124, 2024, Revised Selected Papers 2025 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 276 pages, kõrgus x laius: 235x155 mm, 147 Illustrations, color; 20 Illustrations, black and white; XIII, 276 p. 167 illus., 147 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2207
  • Ilmumisaeg: 04-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303174439X
  • ISBN-13: 9783031744396
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Agricultural-Centric Computation: Second International Conference, ICA 2024, Delhi, India, May 2124, 2024, Revised Selected Papers 2025 ed.Suurem pilt
  • Formaat: Paperback / softback, 276 pages, kõrgus x laius: 235x155 mm, 147 Illustrations, color; 20 Illustrations, black and white; XIII, 276 p. 167 illus., 147 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2207
  • Ilmumisaeg: 04-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303174439X
  • ISBN-13: 9783031744396
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031744396.html
Märksõnad:
This book constitutes the proceedings of the Second International Conference on Agricultural-Centric Computation, ICA 2024, held in Delhi, India, during May 2124, 2024.





The 20 full papers and 6 short papers included in this book were carefully reviewed and selected from 79 submissions. This year's conference focuses on how advanced computational techniques can address critical issues in the agricultural sector, such as climate resilience, food security, sustainable practices, biodiversity conservation, soil health, water management, and market access.

Kisaan Margadarshak An AI based Decision Support System for Farmers in India.- Harvesting Insights Unrevealing Paddy Crop Yields Through Advanced Modeling Techniques.- Enhancing Horticulture Field Security Intruder Detection Utilizing Wi Fi CSI Technology with ESP32 Modules.- Negative Affective State Vocalization Analysis of Dairy Cattle using 3D MFCC Features with CNN LSTM Model on an Edge Device.- Comparative Analysis of Machine Learning-Based Soil pH Prediction Using Spectral Bands and Indices.