Proceedings :: International Society of Precision Agriculture

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Costa, B.S

Fernandes Queiroz Alves , R

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Authors

Valdes Fernandez , G

Lacerda da Silveira, G

Fernandes Queiroz Alves , R

Costa Barboza, T

Arnosti, M.C

Felipe dos Santos, A

da Silva, W.B

Pereira da Costa, O

Bassoi, L.H

Costa, B.S

Ferreira, E.J

Oldoni, H

Jorge, L.A

de S. Ludovico Almeida, N

Costa, B.S

Favarin, J.L

Molin, J.P

Topics

UAV-Based Scouting, Imaging, and Targeted Applications

Variable-Rate Irrigation, Drainage Optimization, and Water Management

Site-Specific Nutrient, Lime and Seed Management

Type

Oral

Poster

Year

2026

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Filter results3 paper(s) found.
1. Automated Initial Plant Stand Assessment in Bean Crops Using Uav-based Yolov8 Detection The use of RGB images acquired by unmanned aerial vehicles (UAVs), combined with artificial intelligence techniques, has increased significantly in recent years for object identification and crop monitoring in agriculture. These technologies enable rapid plant stand count, facilitating decision-making processes. However, limited information is available regarding the optimal flight height for identifying bean plants at early growth stages. Therefore, the objective of this study was to evaluate... G. Valdes Fernandez , G. Lacerda Da Silveira, R. Fernandes Queiroz Alves , T. Costa Barboza, M.C. Arnosti, A. Felipe Dos Santos, W.B. Da Silva, O. Pereira Da Costa Download paper
2. A Hybrid Non-Destructive Approach Combining Image Processing and Spectral Feature Selection for Grapevine Leaf Water Content Estimation Reliable and continuous estimation of leaf water content (LWC) is essential for viticulture, as it enables assessment of spatiotemporal variability in vine water demand and supports improved irrigation management efficiency within Precision Agriculture (PA) practices. Although the gravimetric method based on fresh weight (FW) and dry weight (DW) measurements provides accurate LWC estimates, it is time-consuming, destructive, and exhibits limited scalability for large sample sizes. In contrast,... L.H. Bassoi, B.S. Costa, E.J. Ferreira, H. Oldoni, L.A. Jorge Download paper
3. Evaluation of Variable and Uniform Rate Prescriptions of Potassium Fertilizing for Small Plots in Family-run Coffee Farms Brazil plays a central role in the global coffee supply as one of the primary providers for strategic international markets. As extreme weather threats, prolonged droughts, and international agricultural commodity price volatility increase, enhancing economic efficiency in input use has become fundamental for the sustainability and resilience of coffee production systems. Thus, efficiency in the use of agricultural inputs transcends economic concerns, becoming part of the broader discussion on... N. De S. Ludovico Almeida, B.S. Costa, J.L. Favarin, J.P. Molin Download paper

Filter results3 paper(s) found.

1. Automated Initial Plant Stand Assessment in Bean Crops Using Uav-based Yolov8 Detection

The use of RGB images acquired by unmanned aerial vehicles (UAVs), combined with artificial intelligence techniques, has increased significantly in recent years for object identification and crop monitoring in agriculture. These technologies enable rapid plant stand count, facilitating decision-making processes. However, limited information is available regarding the optimal flight height for identifying bean plants at early growth stages. Therefore, the objective of this study was to evaluate... G. Valdes Fernandez , G. Lacerda Da Silveira, R. Fernandes Queiroz Alves , T. Costa Barboza, M.C. Arnosti, A. Felipe Dos Santos, W.B. Da Silva, O. Pereira Da Costa

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2. A Hybrid Non-Destructive Approach Combining Image Processing and Spectral Feature Selection for Grapevine Leaf Water Content Estimation

Reliable and continuous estimation of leaf water content (LWC) is essential for viticulture, as it enables assessment of spatiotemporal variability in vine water demand and supports improved irrigation management efficiency within Precision Agriculture (PA) practices. Although the gravimetric method based on fresh weight (FW) and dry weight (DW) measurements provides accurate LWC estimates, it is time-consuming, destructive, and exhibits limited scalability for large sample sizes. In contrast,... L.H. Bassoi, B.S. Costa, E.J. Ferreira, H. Oldoni, L.A. Jorge

Download paper

3. Evaluation of Variable and Uniform Rate Prescriptions of Potassium Fertilizing for Small Plots in Family-run Coffee Farms

Brazil plays a central role in the global coffee supply as one of the primary providers for strategic international markets. As extreme weather threats, prolonged droughts, and international agricultural commodity price volatility increase, enhancing economic efficiency in input use has become fundamental for the sustainability and resilience of coffee production systems. Thus, efficiency in the use of agricultural inputs transcends economic concerns, becoming part of the broader discussion on... N. De S. Ludovico Almeida, B.S. Costa, J.L. Favarin, J.P. Molin

Download paper