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Maciel, F.N
Cabeza, A
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Authors
Gomez-Candon, D
Cabeza, A
Villegas, D
Casas, A.M
Igartua, E
Melo, M.D
Paiva, C.M
Oliveira, A.L
Maciel, F.N
Siqueira , G.C
Borges , M.R
Furtado, G.S
Leme, P.M
Topics
UAV-Based Scouting, Imaging, and Targeted Applications
Drivers and Barriers to Adoption of Precision and Digital Technologies
Type
Oral
Year
2026
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1. Comparing UAV-based Multispectral Indices with Thermal and Energy Balance Models for Barley Yield Components Estimation

Accurate estimation of barley yield components is essential for improving crop management and breeding strategies under contrasting water regimes. This study evaluates the potential of integrating unmanned aerial vehicle (UAV)-based multispectral and thermal imagery with energy balance modeling to predict grain yield (GY), thousand kernel weight (TKW), and grain filling period (GFP). A recombinant inbred line (RIL) population derived from SBCC073 × Cierzo was grown under irrigated and rainfed... D. Gomez-candon, A. Cabeza, D. Villegas, A.M. Casas, E. Igartua

2. Digital Agriculture in Dairy Farming: Connectivity Diagnosis and Barriers to Technology Adoption in an Agrotechnological District

The integration of digital tools and communication systems has underpinned a profound transformation in global production chains, aiming to optimize farm operations through technological innovation. Within this context, the present study forms part of the Semear Digital project, coordinated by Embrapa, and is grounded in the premise that digital inclusion constitutes an indispensable strategy for the sustainability and competitiveness of contemporary dairy farming. The primary objective... M.D. Melo, C.M. Paiva, A.L. Oliveira, F.N. Maciel, G.C. Siqueira , M.R. Borges , G.S. Furtado, P.M. Leme