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.
Rice Yield Advances Under Precision Agriculture: a Farm Lesson
Geoscience and Remote Sensing on Horticulture as Support for Management and Planning
Proposed Spray System for Family Agriculture with A Remote-Controlled UAV (Small Drone or Helicopter) and An Economical Sprinkler
The Future Perspectives of Agricultural Graduates and Sustainable Agriculture in Sudan
Organic and Symbiotic Fertilization of Tomato Plants Monitored by Litterbag-NIRS and Foliar-NIRS Rapid Spectroscopic Methods
NIRS Footprint of Bio-Fertilizers from Hay Litter-Bags
Vineyard Clusters Monitored by Means of Litterbag-NIRS and Foliar-NIRS Spectroscopic Methods
Automated Grassweed Detection in Wheat Cropping System: Current Techniques and Future Scope
Comparative Study of Deep Learning Techniques for Detecting Corn Plant Leaf Diseases Using Transfer Learning
A Report on Water, Energy and Food Relationship
Biotechnology 2.0
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.
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2026 · Journal of the Indian Society of Remote Sensing
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Budi Sutomo et al. · 2025 · International Journal Software Engineering and Computer Science (IJSECS)
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Edy Atthoillah et al. · 2025 · International Journal Software Engineering and Computer Science (IJSECS)
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Lina Castano-Duque et al. · 2025 · Frontiers in Microbiology
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Ö. Şimşek · 2025 · Green Technologies and Sustainability
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2025 · Green Technologies and Sustainability
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2025 · Frontiers in Microbiology
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2025 · Industrial Crops and Products
A sample of recent works citing this journal's research on Precision Agriculture, linking to each citing work.