Internet of Things and Analytics for Agriculture, Volume 4 (eBook)

Artikelnummer: 978-981-9674-92-3
Einband: PDF
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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-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.

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.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2025
Seitenangabe440 S.
AusgabekennzeichenEnglisch
AbbildungenXVI, 440 p. 97 illus., 90 illus. in color.
Masse18'883 KB
PlattformPDF
ReiheStudies in Big Data; Engineering; Engineering
AutorKumar, Raghvendra (Hrsg.) / Pattnaik, Prasant Kumar (Hrsg.) / Pal, Souvik (Hrsg.)

Alle Bände der Reihe "Studies in Big Data; Engineering; Engineering (R0)"

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