Proceedings :: International Society of Precision Agriculture

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Vasconcellos Lopes, B

Marchioretto, L.D

Santos, R.D

Silva dos Santos, W

Pereira, L.E

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Authors

Gebler, L

De Rossi, A

de Abreu, J.T

Speranza, E.A

Sessi, A

Marchioretto, L.D

H. S. Sousa , F

S. Maciel, T

M. dos Reis, M

Santos, R.D

M. Santos, A

M. S. de Souza, A

K. F. Veras, A

G. Ferreira, G

P. M. Nunes, M

C. R. Seruffo, M

C. C. Daher, L

G.M. Silva, A

Rubio, G.F

Rubio, J.F

Pereira, L.E

Marques, J.R

Tech, A.R

Logli, M.F

Topics

Remote and Proximal Sensing of Soils and Crops

UAV-Based Scouting, Imaging, and Targeted Applications

Wireless Sensor Networks, Edge Computing, and Farm Connectivity

Type

Poster

Oral

Year

2026

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Filter results3 paper(s) found.
1. Spatiotemporal Variability of Apple Tree Vegetative Vigor Using Proximal Sensing The largest apple production in Brazil is located in the southern region of the country, which has a subtropical climate, borderline conditions for the production of a fruit native to temperate climates. Thus, excessive vegetative growth frequently occurs, negatively impacting productivity and quality in the orchard. This leads to the diversion of productive resources to ancillary activities, such as the application of growth regulators and green pruning, negatively affecting the producer. Currently,... L. Gebler, A. De Rossi, J.T. De Abreu, E.A. Speranza, A. Sessi, L.D. Marchioretto Download paper
2. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production Systems Brazil holds the largest commercial cattle herd in the world, with more than 230 million head, representing approximately 20% of the global population. In this context, technologies capable of optimizing herd monitoring are strategic for increasing production efficiency, reducing operational costs, and promoting sustainability in livestock systems. Among these technologies, computer vision–based systems have emerged as a promising alternative for automated animal detection and counting in... F. H. S. Sousa , T. S. Maciel, M. M. Dos Reis, R.D. Santos, A. M. Santos, A. M. S. De Souza, A. K. F. Veras, G. G. Ferreira, M. P. M. Nunes, M. C. R. Seruffo, L. C. C. Daher, A. G.m. Silva
3. Application for Pixel-level Segmentation and Quantification of Lignified Fibers (Sclerenchyma) and Parenchyma in Microscopic Images of Sugarcane Culms Quantifying lignified tissues in sugarcane culms (Saccharum spp.) is essential for anatomical characterizations and for inferences related to biomass quality and the potential uses of plant material. Conventional methods may require specific laboratory procedures and manual steps in digital analysis, increasing processing time and reliance on skilled operators. In this context, computer vision techniques applied to microscopic images constitute an accessible and reproducible alternative,... G.F. Rubio, J.F. Rubio, L.E. Pereira, J.R. Marques, A.R. Tech, M.F. Logli Download paper

Filter results3 paper(s) found.

1. Spatiotemporal Variability of Apple Tree Vegetative Vigor Using Proximal Sensing

The largest apple production in Brazil is located in the southern region of the country, which has a subtropical climate, borderline conditions for the production of a fruit native to temperate climates. Thus, excessive vegetative growth frequently occurs, negatively impacting productivity and quality in the orchard. This leads to the diversion of productive resources to ancillary activities, such as the application of growth regulators and green pruning, negatively affecting the producer. Currently,... L. Gebler, A. De Rossi, J.T. De Abreu, E.A. Speranza, A. Sessi, L.D. Marchioretto

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2. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production Systems

Brazil holds the largest commercial cattle herd in the world, with more than 230 million head, representing approximately 20% of the global population. In this context, technologies capable of optimizing herd monitoring are strategic for increasing production efficiency, reducing operational costs, and promoting sustainability in livestock systems. Among these technologies, computer vision–based systems have emerged as a promising alternative for automated animal detection and counting in... F. H. S. Sousa , T. S. Maciel, M. M. Dos Reis, R.D. Santos, A. M. Santos, A. M. S. De Souza, A. K. F. Veras, G. G. Ferreira, M. P. M. Nunes, M. C. R. Seruffo, L. C. C. Daher, A. G.m. Silva

3. Application for Pixel-level Segmentation and Quantification of Lignified Fibers (Sclerenchyma) and Parenchyma in Microscopic Images of Sugarcane Culms

Quantifying lignified tissues in sugarcane culms (Saccharum spp.) is essential for anatomical characterizations and for inferences related to biomass quality and the potential uses of plant material. Conventional methods may require specific laboratory procedures and manual steps in digital analysis, increasing processing time and reliance on skilled operators. In this context, computer vision techniques applied to microscopic images constitute an accessible and reproducible alternative,... G.F. Rubio, J.F. Rubio, L.E. Pereira, J.R. Marques, A.R. Tech, M.F. Logli

Download paper