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Gonçalves, I.D
Grant, R
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Authors
Estrada, E
Phillips, S
Grant, R
Lazzarini, L.V
, A
Cândido, G.P
Nunes, V.M
Hurtado, S.M
Leandro, F.H
Gonçalves, I.D
Lazzarini, L.V
Hurtado, S.M
Gonçalves, I.D
CARNEIRO FILHO, M.F
, A
Cândido, G.P
Topics
Digital Solutions for Soil Health, Water Quality, and Conservation Practices
Decision Support Systems, Cloud Platforms, and Open Data Solutions
Remote and Proximal Sensing of Soils and Crops
Type
Poster
Year
2026
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Filter results3 paper(s) found.

1. Spatial and Temporal Variability of Soil Health Scores and their Relationship to Crop Yield

Soil health is the continued capacity of the soil to function as a vital living ecosystem that sustains plants, animals, and humans. To assess and evaluate soil health, the Comprehensive Assessment of Soil Health (CASH) was established. In CASH, different soil health indicators are used to assign a score. These indicators are soil properties that can vary spatially and temporally. In this study, soil health scores were determined across a landscape to... E. Estrada, S. Phillips, R. Grant

2. Spatial Distribution of Coffee Leaf Miner Infestation and Its Impact on Coffee Fruit Maturation, Yield, and Beverage Quality

Differences in the maturation rate of coffee fruits can be associated with plant stress. The incidence of pests, such as the coffee leaf miner (Leucoptera coffeella), compromises the photosynthetically active area, which can reduce yield and beverage quality. Computer vision can assist in damage reduction by identifying the pest's spatial and temporal behavior. This study aimed to verify, spatially and temporally, the impact of damage caused by the coffee leaf miner on fruit... L.V. Lazzarini, A. , G.P. Cândido, V.M. Nunes, S.M. Hurtado, F.H. Leandro, I.D. Gonçalves

3. NDVI Index and Its Correlation with Biennial Coffee Yield

Precision agriculture (PA) has consolidated itself as an important tool in agricultural management, allowing greater productive efficiency, cost reduction, and environmental sustainability. Among PA tools, the use of vegetation indices stands out, as it allows inferences about crop biomass both spatially and temporally. In this context, this study aimed to evaluate the relationship between the normalized difference vegetation index (NDVI) and the yield of Arabica coffee (Coffea arabica... L.V. Lazzarini, S.M. Hurtado, I.D. Gonçalves, M.F. Carneiro Filho, A. , G.P. Cândido