1 option
Internet of Things and Analytics for Agriculture, Volume 4 / edited by Raghvendra Kumar, Prasant Kumar Pattnaik, Souvik Pal.
- Format:
- Book
- Author/Creator:
- Kumar, Raghvendra.
- Series:
- Studies in Big Data, 2197-6511 ; 176
- Language:
- English
- Subjects (All):
- Cooperating objects (Computer systems).
- Internet of things.
- Artificial intelligence.
- Agriculture--Economic aspects.
- Agriculture.
- Sustainability.
- Cyber-Physical Systems.
- Internet of Things.
- Artificial Intelligence.
- Agricultural Economics.
- Local Subjects:
- Cyber-Physical Systems.
- Internet of Things.
- Artificial Intelligence.
- Agricultural Economics.
- Sustainability.
- Physical Description:
- 1 online resource (544 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- 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.
- Contents:
- 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.
- ISBN:
- 981-9674-92-1
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.