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Internet of things and analytics for agriculture.Volume 4

Record Type:	Electronic resources : Monograph/item
Title/Author:	Internet of things and analytics for agriculture.edited by Raghvendra Kumar, Prasant Kumar Pattnaik, Souvik Pal.
other author:	Kumar, Raghvendra.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvi, 440 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceAgricultural applications.
Online resource:	https://doi.org/10.1007/978-981-96-7492-3
ISBN:	9789819674923$q(electronic bk.)

Internet of things and analytics for agriculture.Volume 4
Internet of things and analytics for agriculture.Volume 4[electronic resource] /edited by Raghvendra Kumar, Prasant Kumar Pattnaik, Souvik Pal. - Singapore :Springer Nature Singapore :2025. - xvi, 440 p. :ill., digital ;24 cm. - Studies in big data,v. 1762197-6511 ;. - Studies in big data ;v.1..

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.

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.

ISBN: 9789819674923$q(electronic bk.)

Standard No.: 10.1007/978-981-96-7492-3doiSubjects--Topical Terms:

803531
Artificial intelligence
--Agricultural applications.

LC Class. No.: S494.5.D3

Dewey Class. No.: 630.208563

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520 $a 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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