Integration of IT solutions for resource management in environmentally sustainable agriculture

This article presents the development of a resource management system for environmentally sustainable agriculture. The main purpose of the system is to optimize the use of water, fertilizers and energy in agriculture, which significantly reduces the negative impact on the environment and increases production efficiency. The system includes modules for soil monitoring, data collection on resources and climatic conditions, as well as analytical components for processing and analysing the information received. An important element is the user interface, which allows farmers and agronomists to receive recommendations on resource allocation based on up-to-date data and forecasts. The work highlights the current challenges in the development of such systems, including the complexity of technology integration and the need for affordable solutions for various types of farms. The article also discusses the prospects for further research aimed at improving the accuracy of forecasts, expanding monitoring functions and adapting the system for use in small farms. The proposed system makes a significant contribution to the development of environmentally oriented agriculture, providing a tool for sustainable resource management and contributing to the achievement of environmental protection goals.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-28
DOI
https://doi.org/10.1051/bioconf/202414506008/pdf
Primary Topic
Advanced Signal Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of IT solutions for resource management in environmentally sustainable agriculture

Springer Link (Chiba Institute of Technology)
Advanced Signal Processing Techniques
article

Integration of IT solutions for resource management in environmentally sustainable agriculture

article en

Abstract

This article presents the development of a resource management system for environmentally sustainable agriculture. The main purpose of the system is to optimize the use of water, fertilizers and energy in agriculture, which significantly reduces the negative impact on the environment and increases production efficiency. The system includes modules for soil monitoring, data collection on resources and climatic conditions, as well as analytical components for processing and analysing the information received. An important element is the user interface, which allows farmers and agronomists to receive recommendations on resource allocation based on up-to-date data and forecasts. The work highlights the current challenges in the development of such systems, including the complexity of technology integration and the need for affordable solutions for various types of farms. The article also discusses the prospects for further research aimed at improving the accuracy of forecasts, expanding monitoring functions and adapting the system for use in small farms. The proposed system makes a significant contribution to the development of environmentally oriented agriculture, providing a tool for sustainable resource management and contributing to the achievement of environmental protection goals.

Springer Link (Chiba Institute of Technology)
Zero hunger
Openalex Percentile: Top 69%
Advanced Signal Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integration of IT solutions for resource management in environmentally sustainable agriculture · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS