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Record Nr. |
UNINA9911021145503321 |
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Autore |
Kumar Raghvendra |
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Titolo |
Internet of Things and Analytics for Agriculture, Volume 4 / / edited by Raghvendra Kumar, Prasant Kumar Pattnaik, Souvik Pal |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (544 pages) |
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Collana |
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Studies in Big Data, , 2197-6511 ; ; 176 |
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Altri autori (Persone) |
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PattnaikPrasant Kumar |
PalSouvik |
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Disciplina |
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Soggetti |
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Cooperating objects (Computer systems) |
Internet of things |
Artificial intelligence |
Agriculture - Economic aspects |
Sustainability |
Cyber-Physical Systems |
Internet of Things |
Artificial Intelligence |
Agricultural Economics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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- |
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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. |
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