Online-Ressource
Singapore : Springer Nature Singapore
|
Singapore : Imprint: Springer
Schlagwort(e):
Physical geography.
;
Agriculture.
;
Artificial intelligence.
;
Internet of things.
Beschreibung / Inhaltsverzeichnis:
Artificial Intelligence and Smart Farming: An Overview -- Remote Sensing in Precision Agriculture: Current Status and Applications -- Revolutionizing Agriculture: Geospatial Technologies and Precision Farming in India -- Assessment of Water Use Efficiency for Sustainable Water Management by Integration of Remote Sensing and Machine Learning -- Pathways for Intensified Agriculture Through Sustainable Water Management: Need of an Hour -- Crop yield prediction using artificial intelligence and remote sensing methods -- Role of Artificial Intelligence in Revolutionizing Agricultural Technology -- Weather Intelligence for Climate-resilient Agriculture -- Big Data Analytics for Improved Weather Forecasting and Disaster Management -- Crop Monitoring System Integrating with Internet of Things and Artificial Intelligence -- Soil moisture and temperature management using IoT for sustainable farming -- Internet of Things (IoTs) Enabled Irrigation Management System for Precision Agriculture -- Unmanned Aerial Vehicles (UAV) for Smart Agriculture -- IoT‐Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming -- Smart irrigation management through Unmanned Aerial Vehicles (UAV) -- Biotic stress management in field crops using artificial intelligence technologies -- Soilless cultivation: A distinct vision for sustainable agriculture -- Fertigation management in substrate soilless culture -- Integration of AI and IoT in Soilless Cultivation to power sustainable agricultural revolution -- Plant disease detection, diagnosis and management: Recent advances and future perspectives -- Disease and pest control through advance technology -- A Critical Analysis of Convolutional Neural Networks for Leaf Disease Detection in Plants -- Robotic seeding or sowing system in smart agriculture -- Revolutionizing Crop Yield Prediction: The Synergy of Remote Sensing and Artificial Intelligence Technologies -- Harvesting the Future: Navigating the Challenges and Limitations of AI in Agriculture. .
Materialart:
Online-Ressource
Seiten:
1 Online-Ressource(VII, 567 p. 165 illus., 153 illus. in color.)
Ausgabe:
1st ed. 2024.
ISBN:
9789819703418
Serie:
Advances in Geographical and Environmental Sciences
URL:
https://doi.org/10.1007/978-981-97-0341-8
DOI:
10.1007/978-981-97-0341-8
Sprache:
Englisch
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hinzugefügt am 2024-04-03
