Proceedings :: International Society of Precision Agriculture

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Gonçalves, I.D

Filho, O

Reis, M.D

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Authors

de Souza Salles, E

Souza, C

Pereira de Morais, E

Filho, O

Santos, A.L

Linhares, A.A

Barbosa , P.C

Lopes, W.C

Reis, M.D

Rocha, K.D

de Oliveira, D.G

Rodrigues, M.S

Costa, D.D

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

Remote and Proximal Sensing of Soils and Crops

Decision Support Systems, Cloud Platforms, and Open Data Solutions

Type

Poster

Oral

Year

2026

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Authors

Filter results4 paper(s) found.
1. Spatial Distribution of the Visual Evaluation of Soil Structure in a Coffee-growing Area Coffee production has a significant socioeconomic impact in Brazil, requiring efficient and technological management practices to ensure high yields and soil conservation. In this context, assessing soil physical quality is indispensable, and the Visual Evaluation of Soil Structure (VESS) methodology is a rapid, cost-effective, and easily applicable field alternative compared to traditional laboratory analyses. The objective of this study was to visually evaluate the structure of a soil cultivated... E. De Souza Salles, C. Souza, E. Pereira De Morais, O. Filho Download paper
2. Development of Predictive Models for Determining Organic Carbon and Clay Content in Soils under Irrigated Fruit Production in the Brazilian Semi-Arid Region The agricultural sector plays a pivotal role in both greenhouse gas emissions and climate change mitigation through soil carbon sequestration. Total organic carbon (TOC) and soil texture - particularly clay content - are key indicators of this dynamic, as they influence organic matter stabilization, water retention, and soil structural quality. In semi-arid regions, where edaphoclimatic conditions and water scarcity constrain agricultural production, the integrated assessment of these attributes... A.L. Santos, A.A. Linhares, P.C. Barbosa , W.C. Lopes, M.D. Reis, K.D. Rocha, D.G. De Oliveira, M.S. Rodrigues, D.D. Costa Download paper
3. 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 Download paper
4. 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 Download paper

Filter results4 paper(s) found.

1. Spatial Distribution of the Visual Evaluation of Soil Structure in a Coffee-growing Area

Coffee production has a significant socioeconomic impact in Brazil, requiring efficient and technological management practices to ensure high yields and soil conservation. In this context, assessing soil physical quality is indispensable, and the Visual Evaluation of Soil Structure (VESS) methodology is a rapid, cost-effective, and easily applicable field alternative compared to traditional laboratory analyses. The objective of this study was to visually evaluate the structure of a soil cultivated... E. De Souza Salles, C. Souza, E. Pereira De Morais, O. Filho

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2. Development of Predictive Models for Determining Organic Carbon and Clay Content in Soils under Irrigated Fruit Production in the Brazilian Semi-Arid Region

The agricultural sector plays a pivotal role in both greenhouse gas emissions and climate change mitigation through soil carbon sequestration. Total organic carbon (TOC) and soil texture - particularly clay content - are key indicators of this dynamic, as they influence organic matter stabilization, water retention, and soil structural quality. In semi-arid regions, where edaphoclimatic conditions and water scarcity constrain agricultural production, the integrated assessment of these attributes... A.L. Santos, A.A. Linhares, P.C. Barbosa , W.C. Lopes, M.D. Reis, K.D. Rocha, D.G. De Oliveira, M.S. Rodrigues, D.D. Costa

Download paper

3. 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

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4. 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

Download paper