Research Topic · Peer-Reviewed

Precision Agriculture

Precision agriculture is a management approach that uses information technology, sensing and data analysis to observe, measure and respond to variability within and between fields, with the aim of optimising crop production while reducing inputs and environmental impact. It integrates tools such as satellite positio…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 104× across the literature 🔖 ISSN 2639-3166 🗓 Reviewed July 2026

Overview

Precision agriculture is a management approach that uses information technology, sensing and data analysis to observe, measure and respond to variability within and between fields, with the aim of optimising crop production while reducing inputs and environmental impact. It integrates tools such as satellite positioning and mapping, remote sensing, drones (unmanned aerial vehicles), field sensors and computational models to inform site-specific decisions about planting, irrigation, fertilisation and pest control. By matching inputs to the precise needs of soils and crops, precision agriculture seeks to improve yields, lower costs, conserve resources and support more sustainable farming. The field draws on advances in geospatial science, spectroscopy, automation and, increasingly, machine learning for tasks such as disease and weed detection. Research published in this journal examines several aspects of this approach, including efforts to implement integrated precision-agriculture technology and the resulting yield advances in rice systems, the use of geoscience and remote sensing to support horticultural management and planning, and proposed remote-controlled spraying systems for smallholder farming. Further work applies near-infrared spectroscopy to monitor fertilisation in tomato, vineyard and grassland systems, and uses deep learning and transfer learning for automated detection of grassweeds and crop-leaf diseases. Together these studies reflect interest in sensing technologies, remote monitoring, automation, sustainability and data-driven decision-making in modern agriculture.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

2019

A Report on Water, Energy and Food Relationship

Chen Di-YunCorresponding author
Guangdong Provincial Key Laboratory for Radionuclides Pollution Control and Resources, School of Environmental Science and Engineering, Guangzhou University, Guangzhou-510006, China.
Exact topic International Journal of Nutrition Cited by 5 doi:10.14302/issn.2379-7835.ijn-19-2585
2023

Biotechnology 2.0

Isea RaúlCorresponding author
Exact topic Current Scientific Research doi:10.14302/issn.2766-8681.jcsr-23-4811

How this research is being cited

The 12 articles above have been cited 104 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Precision Agriculture, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Agronomy Research (ISSN 2639-3166).

Journal editorial board
Mahmoud Mohamed Hesham Okasha · Italy Anita Maienza · Italy Rusu Teodor · Romania

This page summarises published research for orientation; it is not medical or professional advice.