Proceedings :: International Society of Precision Agriculture

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Pascoaloto, I.M

Pereira, L.E

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Authors

Aguiar Jordão, F

Santos, D.J

Dalevedo, G.D

Gaion, L.A

Pascoaloto, I.M

Fernandes, E

, J

Lemos, T.F

Colleta de Abreu Moral, P

Gaion, L.A

Gaspareto Filho, C.C

Pascoaloto, I.M

Fernandes, E

, J

de Lemos, T.F

Rubio, G.F

Rubio, J.F

Pereira, L.E

Marques, J.R

Tech, A.R

Logli, M.F

Topics

Site-Specific Nutrient, Lime and Seed Management

Wireless Sensor Networks, Edge Computing, and Farm Connectivity

Type

Poster

Oral

Year

2026

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Filter results3 paper(s) found.
1. Silage Corn Production Under Different Management Strategies: Conventional and 4.0 Agriculture 4.0 has emerged as a strategic tool to maximize operational efficiency and environmental sustainability in agricultural production. The integration of telemetry, automation, and spatial data analysis facilitates more precise management, reducing input waste and enhancing production predictability relative to traditional methods. In this context, the objective of this study was to evaluate the impact of adopting Agriculture 4.0 technologies on the agronomic performance and productive... F. Aguiar Jordão, D.J. Santos, G.D. Dalevedo, L.A. Gaion, I.M. Pascoaloto, E. Fernandes, J. , T.F. Lemos Download paper
2. Agronomic and Economic Performance of Early Maize and Weed Management Under Agriculture 4.0 versus Conventional Systems Agriculture 4.0 stands as a crucial strategy to optimize operational efficiency and environmental sustainability in maize cultivation, enabling rationalized input use through automation and data management. However, limited comparative data exist regarding its agronomic efficacy against conventional practices under tropical conditions. Thus, this study aimed to compare vegetative development and weed infestation in conventional and Agriculture 4.0 cropping systems. The experiment was conducted... P. Colleta De Abreu Moral, L.A. Gaion, C.C. Gaspareto Filho, I.M. Pascoaloto, E. Fernandes, J. , T.F. De Lemos Download paper
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. Silage Corn Production Under Different Management Strategies: Conventional and 4.0

Agriculture 4.0 has emerged as a strategic tool to maximize operational efficiency and environmental sustainability in agricultural production. The integration of telemetry, automation, and spatial data analysis facilitates more precise management, reducing input waste and enhancing production predictability relative to traditional methods. In this context, the objective of this study was to evaluate the impact of adopting Agriculture 4.0 technologies on the agronomic performance and productive... F. Aguiar Jordão, D.J. Santos, G.D. Dalevedo, L.A. Gaion, I.M. Pascoaloto, E. Fernandes, J. , T.F. Lemos

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2. Agronomic and Economic Performance of Early Maize and Weed Management Under Agriculture 4.0 versus Conventional Systems

Agriculture 4.0 stands as a crucial strategy to optimize operational efficiency and environmental sustainability in maize cultivation, enabling rationalized input use through automation and data management. However, limited comparative data exist regarding its agronomic efficacy against conventional practices under tropical conditions. Thus, this study aimed to compare vegetative development and weed infestation in conventional and Agriculture 4.0 cropping systems. The experiment was conducted... P. Colleta De Abreu Moral, L.A. Gaion, C.C. Gaspareto Filho, I.M. Pascoaloto, E. Fernandes, J. , T.F. De Lemos

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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