Article

Integrating Predictive Models and Remote Sensing for Sustainable Agriculture, Energy, and Environmental Management

Raj KumarManav Rachna International Institute of Research and Studies (Deemed to be University),Department of Computer Applications,Faridabad,IndiaDanish AtherAmity University,Department of IT and Engineering,Tashkent,UzbekistanPinki SagarIbrohimbek YusupovTashkent University of Information Technologies, Named after Muhammad ibn Musa al-Khwarizm,Department of Artificial Intelligence,Tashkent,UzbekistanSonia DuggalManav Rachna International Institute of Research and Studies (Deemed to be University),Department of Computer Applications,Faridabad,IndiaVishal JainSharda School of Engineering and Technology, Sharda University,Department of Computer Science and Engineering,Greater Noida,India

2024en

ABI

Abstract

This paper focuses on a critical analysis of the application of integrated works of predictive models and remote sensing in agriculture and renewable energy, and environmental conservation. This method involves the use of deep learning approaches, UAV data collection and hyperspectral imagery which gives the researchers an understanding on the real world effectiveness of the systems and technologies analyzed; on predictive models and resource utilization efficiency.

Topics

Water-Energy-Food Nexus Studies Sustainable Agricultural Systems Analysis Food Supply Chain Traceability

Identifiers

DOI: 10.1109/ictacs62700.2024.10841299

Citations and references

Cited by 2 10 references

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