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Gebler, H.F
G.M. Silva, A
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Authors
H. S. Sousa , F
S. Maciel, T
M. dos Reis, M
Santos, R.D
M. Santos, A
M. S. de Souza, A
K. F. Veras, A
G. Ferreira, G
P. M. Nunes, M
C. R. Seruffo, M
C. C. Daher, L
G.M. Silva, A
Gebler, H.F
Silva Costa, B.R
Molin, J.P
Gebler, H.F
Grego, C.R
Rodrigues, G.C
Pereira, A
Fagundes, F
Topics
UAV-Based Scouting, Imaging, and Targeted Applications
Precision Horticulture and Specialty Crop Management
Remote and Proximal Sensing of Soils and Crops
Type
Poster
Year
2026
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1. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production Systems

Brazil holds the largest commercial cattle herd in the world, with more than 230 million head, representing approximately 20% of the global population. In this context, technologies capable of optimizing herd monitoring are strategic for increasing production efficiency, reducing operational costs, and promoting sustainability in livestock systems. Among these technologies, computer vision–based systems have emerged as a promising alternative for automated animal detection and counting in... F. H. S. Sousa , T. S. Maciel, M. M. Dos Reis, R.D. Santos, A. M. Santos, A. M. S. De Souza, A. K. F. Veras, G. G. Ferreira, M. P. M. Nunes, M. C. R. Seruffo, L. C. C. Daher, A. G.m. Silva

2. Applying Precision Agriculture Principles to Assess Spatial Variability of Soil Fertility Profiles in Coffee Farms at a Regional Scale.

In the last two decades, the development and increasing efficiency of Precision and Digital Agriculture technologies has been observed in a broad range of farming systems. One of the consequences of this was the popularization of digital data collection, resulting in the current scenario where agricultural companies usually have large georeferenced databases concerning climate, soil and plant traits. These datasets are also produced by agricultural cooperatives such as the Cooxupé (Regional... H.F. Gebler, B.R. Silva Costa, J.P. Molin

3. Producing Ordinary Kriging Interpolated Maps for Biomass Observation Through Values Captured with NDVI and NDRE Imagery.

Geostatistics is a well-established method in the scientific community for aiding decision-making in situations with spatial dependence. Generally, the methodology adopted for interpolating fertility maps is the use of data from soil sampling on the property, generating representative thematic maps. However, the number of samples required for this methodology can be problematic when the analysis site is a small farm or one divided into multiple plots, common scenarios in Brazilian coffee farming. Considering... H.F. Gebler, C.R. Grego, G.C. Rodrigues, A. Pereira, F. Fagundes