Agricultural-Centric Computation - Second International Conference, ICA 2024, Delhi, India, May 21-24, 2024, Revised Selected Papers

This book constitutes the proceedings of the Second International Conference on Agricultural-Centric Computation, ICA 2024, held in Delhi, India, during May 21-24, 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.

Inhaltsverzeichnis

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.

Produktdetails

• Mitarbeit: Neeraj Goel (Herausgeber), Matias Miguez (Herausgeber), Matias Miguez et al (Herausgeber), Mukesh Kumar Saini (Herausgeber), Dhananjay Singh (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 04.01.2025
• EAN: 9783031744396
• ISBN: 978-3-0-3174439-6
• Seiten: 276
• Abmessung: 155 mm x 15 mm x 235 mm
• Gewicht: 447 g
• Illustration: XIII, 276 p. 167 illus., 147 illus. in color.
• Serie: Communications in Computer and Information Science
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; machine learning, Data Mining, Maschinelles Lernen, Artificial Intelligence, iot, Netzwerk-Hardware, Bildverarbeitung, Wissensbasierte Systeme, Expertensysteme, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Communication Networks, Data Mining and Knowledge Discovery, Remote sensing, plant protection, computation, Precision Agriculture, Crop-yield, Disease Detection, Plant Dataset