Internet of Things and Analytics for Agriculture, Volume 4

Herausgegeben:Kumar, Raghvendra; Pattnaik, Prasant Kumar; Pal, Souvik

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Big Data 176
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-7491-6
• Seitenzahl: 424
• Erscheinungstermin: Juli 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819674916
• Artikelnr.: 73993801

Inhaltsangabe

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.