This work presents a camera-based sensor for mapping plant growth over an agricultural field. The sensor can be used on ground-based vehicles like a tractor and relies on RTK-GNSS to correctly merge many multispectral images onto one map. NDVI is used as an index to estimate plant growth, but the approach can be used with other indices as well depending on the camera. The images from the camera are projected onto the estimated ground plane using perspective projection. This computationally simple approach allows for real-time processing of all images on the field even with low-end hardware. The results are compared to a commercially established vehicle-mounted sensor. Absolute values are hard to compare, but both sensors show similar trends. The camera-based approach also allows for filtering of ground and non-ground areas, potentially reducing the impact of crop density on the average measured NDVI.
Site-specific weed management can reduce herbicide use and improve the sustainability of crop production, but its adoption remains constrained by the complexity and costs of many sensing technologies. Integrating weed detection algorithms into optical sensing systems already used for precision agriculture may represent...
Rapid and non-destructive monitoring of maize SPAD is important for precision water and nitrogen management in arid irrigation areas. This study developed a UAV–smartphone cross-device calibration framework for SPAD estimation using UAV multispectral imagery, smartphone RGB images, and ground-measured SPAD data collect...
Jian-Wen Yan, Shi-Long Miao, Xian-Yue Li et al.· Frontiers in Plant Science· 0 citations
This work proposes a Visual-SLAM system using a monocular camera, which is significantly more cost-effective and specifically tailored for agricultural applications, such as mapping tomato crops in a greenhouse.
F. Cañadas-Aránega, J. C. Moreno, J. Blanco-Claraco et al.· 1 citation
Biomass estimation is used to evaluate tree growth, the ability to sequester carbon, and indicate the effectiveness of agricultural management. In-situ methodology is widely used for biomass measurement including the tree height and diameter at the breast height, which result in a high labour cost and is extremely time...
C. D. M. Ishkandar, N. Nawi, Zailani Khuzaimah et al.· IOP Conference Series: Earth...· 0 citations
Remote sensing using Unmanned Aerial Vehicles (UAVs) has become an effective tool for monitoring vegetated areas at high spatial resolution. This study aimed to correlate Soil Carbon Stock (SCS) with Vegetation Indices (VIs) derived from RGB images of different vegetation covers, obtained using an optical sensor mounte...
Ayrton Durães Manso, Marco Aurélio Passos Louzada· Revista Raega: O Espaço Geog...· 0 citations
The proposed method enables three-dimensional semantic labeling and farmland boundary reconstruction while providing metric-scale semantic information for environmental perception and autonomous navigation of intelligent agricultural machinery.
Ming-Xuan Cheng, Shi-Wei Ma, Fu-Wei Li et al.· Agriculture· 0 citations
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