What is it about?
This paper reviews how IoT and geospatial modelling are being integrated into smart agriculture, with a focus on Australia and comparable developed countries. It analyses 172 peer-reviewed studies from 2013–2023 and identifies key technologies such as UAVs, RGB cameras, Sentinel-2, LANDSAT-8, SAR, LiDAR, GPS/GNSS and field sensors for crop monitoring, yield estimation and resource management.
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Why is it important?
This work is important because agriculture faces growing pressure from climate change, water scarcity, resource constraints and rising food demand. By comparing Australia with countries such as the USA, Germany, Canada, France, Belgium and Spain, the paper highlights where Australia is progressing and where gaps remain, especially in UAV, SAR, RGB-camera and resource-management applications.
Perspectives
From my perspective, this paper is valuable because it connects digital agriculture research with real sustainability challenges. It does not just list technologies; it shows how IoT and geospatial modelling can support better decisions on farms, improve input efficiency, reduce environmental impact and guide future investment in Australian smart agriculture.
Dr Quazi Mamun
Charles Sturt University
Read the Original
This page is a summary of: A bibliographic study of integrating IoT and geospatial modelling for sustainable smart agriculture in developed countries: Focus on Australia, Computers and Electronics in Agriculture, February 2026, Elsevier,
DOI: 10.1016/j.compag.2025.111289.
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