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Internet of Things and Analytics for Agriculture, Volume 4 / / edited by Raghvendra Kumar, Prasant Kumar Pattnaik, Souvik Pal



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Autore: Kumar Raghvendra Visualizza persona
Titolo: Internet of Things and Analytics for Agriculture, Volume 4 / / edited by Raghvendra Kumar, Prasant Kumar Pattnaik, Souvik Pal Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (544 pages)
Disciplina: 621.38
Soggetto topico: Cooperating objects (Computer systems)
Internet of things
Artificial intelligence
Agriculture - Economic aspects
Sustainability
Cyber-Physical Systems
Internet of Things
Artificial Intelligence
Agricultural Economics
Altri autori: PattnaikPrasant Kumar  
PalSouvik  
Nota di contenuto: Enhancing Sustainability in Agriculture Energy Preserving Protocols for IoT Enabled Systems -- Agriculture sector electrical transmission network active power loss reduction by Kelleromyxa fimicola optimization Lasio-rhinus krefftii algorithm and Coil Spring buffer search -- Autonomous Herbicide Sprayer Robot for Controlling Weeds in Sesame Field -- Empowering Sustainable Agriculture through IoT and Multimodal Recommendation Systems A Deep Learning Approach.
Sommario/riassunto: This edited book presents recent findings on use of IoT-based monitoring systems to analyse functional frameworks for intelligent computational analysis of sustainable agricultural system, field monitoring and automation systems, agriculture sensor network, sensor-based precision agriculture, expert systems for soil management, remote monitoring and predictive analysis systems, AI-based emergency alert systems, crop monitoring, AI-based predictive analysis, smart irrigation, and data acquisition security. The book also explores a range of applications, including, intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.
Titolo autorizzato: Internet of Things and Analytics for Agriculture, Volume 4  Visualizza cluster
ISBN: 981-9674-92-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911021145503321
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Serie: Studies in Big Data, . 2197-6511 ; ; 176