Proceedings :: International Society of Precision Agriculture

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Hatum de Almeida, S.L

Zolin, P.

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Authors

Zolin, P.

Peranzoni Deponti, L

Bastos, L

Amaral, L.R

Gomes Mesquita , G

Costa Souza, J.B

De Oliveira Vieira, I

Hatum de Almeida, S.L

Carreira, V.D

Pereira da Silva, R.P

Felipe dos Santos, A

Rorato, A

Zolin, P.

Scarpin, G.J

Deponti, L.P

Echer, F.R

Bastos, L

Topics

UAV-Based Scouting, Imaging, and Targeted Applications

Precision Crop Protection, Pest, and Plant Health

Type

Poster

Oral

Year

2026

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Authors

Filter results3 paper(s) found.
1. Correcting LiDAR-based Plant Height Estimation Errors in Dense Cotton Canopies Cotton is a perennial plant grown as an annual crop and, if not properly managed, excessive vegetative growth may reduce yield, making the use of plant growth regulators (PGR) essential. In precision agriculture, spatial representation of PGR requirements depends on plant height measurements, which are typically labor-intensive. LiDAR sensors mounted on drones have been widely used to estimate plant height. However, under certain conditions, cotton plants can become highly vigorous, resulting... P. Zolin, L. Peranzoni Deponti, L. Bastos, L.R. Amaral
2. Evaluation of Horizontal Distribution in Spraying with RPA in Static and Dynamic Modes The application of plant protection products (PPPs) using remotely piloted aircraft (RPA) represents a significant innovation in the context of modern agriculture, especially regarding the pursuit of greater operational efficiency and the reduction of environmental impacts. The use of this technology has stood out for the possibility of carrying out more precise applications, with better control of droplet deposition and potential reduction in in input consumption. However, despite its promising... G. Gomes Mesquita , J.B. Costa Souza, I. De Oliveira Vieira, S.L. Hatum De Almeida, V.D. Carreira, R.P. Silva, A. Felipe Dos Santos
3. Sensor-based plant growth regulator management in cotton: plot-level and within-plant yield distribution Cotton yield is distributed among canopy thirds, and the use of plant growth regulators (PGRs) modulate this balance, affecting fruiting and yield. Drone-mounted sensors can be used to estimate plant growth and generate maps for variable rate PGR applications to support management. This study compared traditional PGR management with fixed timing and rate to sensor-based management by evaluating PGR application rate and timing. Within-plant yield distribution... A. Rorato, P. . Zolin, G.J. Scarpin, L.P. Deponti, F.R. Echer, L. Bastos Download paper

Filter results3 paper(s) found.

1. Correcting LiDAR-based Plant Height Estimation Errors in Dense Cotton Canopies

Cotton is a perennial plant grown as an annual crop and, if not properly managed, excessive vegetative growth may reduce yield, making the use of plant growth regulators (PGR) essential. In precision agriculture, spatial representation of PGR requirements depends on plant height measurements, which are typically labor-intensive. LiDAR sensors mounted on drones have been widely used to estimate plant height. However, under certain conditions, cotton plants can become highly vigorous, resulting... P. Zolin, L. Peranzoni Deponti, L. Bastos, L.R. Amaral

2. Evaluation of Horizontal Distribution in Spraying with RPA in Static and Dynamic Modes

The application of plant protection products (PPPs) using remotely piloted aircraft (RPA) represents a significant innovation in the context of modern agriculture, especially regarding the pursuit of greater operational efficiency and the reduction of environmental impacts. The use of this technology has stood out for the possibility of carrying out more precise applications, with better control of droplet deposition and potential reduction in in input consumption. However, despite its promising... G. Gomes Mesquita , J.B. Costa Souza, I. De Oliveira Vieira, S.L. Hatum De Almeida, V.D. Carreira, R.P. Silva, A. Felipe Dos Santos

3. Sensor-based plant growth regulator management in cotton: plot-level and within-plant yield distribution

Cotton yield is distributed among canopy thirds, and the use of plant growth regulators (PGRs) modulate this balance, affecting fruiting and yield. Drone-mounted sensors can be used to estimate plant growth and generate maps for variable rate PGR applications to support management. This study compared traditional PGR management with fixed timing and rate to sensor-based management by evaluating PGR application rate and timing. Within-plant yield distribution... A. Rorato, P. . Zolin, G.J. Scarpin, L.P. Deponti, F.R. Echer, L. Bastos

Download paper