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Gafni, R
G. Ferreira, G
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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
Levanon, D
Cohen, Y
Gafni, R
Shmuel, L
Edan, Y
Topics
UAV-Based Scouting, Imaging, and Targeted Applications
Precision Crop Protection, Pest, and Plant Health
Type
Poster
Oral
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. Spatio-Temporal Sampling-Point Allocation for High-Density Robotic Pest Monitoring and Precision Treatment

Efficient monitoring of pests in crops, such as the two-spotted spider mite (Tetranychus urticae), is essential for optimizing pesticide application and minimizing yield losses. However, conventional manual scouting is labor-intensive and costly, limiting spatial coverage and sampling frequency. Consequently, infestation hotspots are often detected too late, reducing the effectiveness of timely and targeted interventions. This limitation... D. Levanon, Y. Cohen, R. Gafni, L. Shmuel, Y. Edan