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Internet of things and analytics for agriculture.. Volume 4

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Internet of things and analytics for agriculture./ edited by Raghvendra Kumar, Prasant Kumar Pattnaik, Souvik Pal.
其他作者:	Kumar, Raghvendra.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xvi, 440 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Agricultural applications. -
電子資源:	https://doi.org/10.1007/978-981-96-7492-3
ISBN:	9789819674923

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. 176..

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

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

3299845
Artificial intelligence
--Agricultural applications.

LC Class. No.: S494.5.D3

Dewey Class. No.: 630.208563

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