Proceedings :: International Society of Precision Agriculture

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Toledo, R

Fontena, V

Fantinel, R.A

Novaes da Silva, A

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Authors

Delgado Bejarano, L

, B

Novaes da Silva, A

Amaral, L.R

Andrade, M

da Silva Fonseca, J

Toledo, R

Martin Carbajal Gamarra, F

Andrade, M

Toledo, R

Amaral, L.D

Pereira da Silva, S.D

Fantinel, R.A

Richter, V

, N

Wagner, N.K

Teixeira, C

Fontena, V

Junior, C.S

Cruz, O.A

Morgan Pereira, P.H

Fontena, V

Wagner, N.K

Teixeira, C

Lopes, J

Moura, L

Guimarães, C

Topics

Site-Specific Nutrient, Lime and Seed Management

Remote and Proximal Sensing of Soils and Crops

Wireless Sensor Networks, Edge Computing, and Farm Connectivity

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Agricultural Robotics, Automation, and Mechanization

Type

Oral

Poster

Year

2026

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Filter results6 paper(s) found.
1. Economic Assessment of Soil Sampling Densities for Variable-Rate Fertilizer Prescription Soil sampling and laboratory analysis represent a substantial share of operational costs in precision agriculture, making sampling density a crucial management parameter. Sampling density defines the resolution at which soil spatial variability is captured and directly influences the accuracy of spatial interpolation and fertilizer prescription maps. Due to high operational costs, reduced sampling densities are commonly adopted in practice, despite their known effects on map quality. This study... L. Delgado Bejarano, B. , A. Novaes Da Silva, L.R. Amaral
2. Estimation of Leaf Area in Hydroponic Microgreenhouses by Digital Image Processing and Color-Based Segmentation Monitoring plant development is a fundamental pillar of precision agriculture, as leaf area is a primary indicator of photosynthetic capacity, transpiration rates, and overall biomass accumulation. In controlled environments such as hydroponic micro-greenhouses, real-time growth monitoring enables timely adjustments to nutrient film technique (NFT) parameters. However, conventional leaf area measurement methods often rely on invasive sampling or expensive, high-maintenance optical equipment, limiting... M. Andrade, J. Da Silva Fonseca, R. Toledo, F. Martin Carbajal Gamarra Download paper
3. Autonomous Edge Computing Station for Precision Soil and Climate Monitoring in Remote and Low-Connectivity Environments The expansion of Precision Agriculture (PA) into remote rural areas, particularly in developing countries like Brazil, is frequently hindered by severe infrastructure constraints. Large-scale adoption of digital tools faces the dual challenge of limited 4G/5G connectivity at the field level (the "talhão") and the high costs associated with conventional electrification and industrial-grade equipment. These barriers disproportionately affect small and medium-sized farmers, creating... M. Andrade, R. Toledo Download paper
4. Evaluation of Convolutional Neural Network Architectures for Stress Detection in Eucalyptus saligna Using Multispectral UAV Imagery Root malformation disorder (RMD) is a significant abiotic condition that impairs water and nutrient uptake in Eucalyptus saligna, leading to physiological stress and reduced stand uniformity. Early detection in commercial plantations is hampered by the extensive spatial scale and logistical limitations of manual field inspections. In this context, the present study evaluated the performance of three convolutional neural network (CNN) architectures, U-Net, U-Net++, and Attention U-Net, in detecting... L.D. Amaral, S.D. Pereira Da Silva, R.A. Fantinel, V. Richter, N. Download paper
5. Software Protocol Converters as Enablers for Interoperability in Heterogeneous Multi-Robot Systems Advancements in agricultural robotics are driving a transition toward ecosystems composed of heterogeneous platforms from multiple manufacturers. In this context, robotic platforms from multiple vendors must coexist and collaborate to perform complex tasks, including autonomous monitoring and precision weeding. However, this evolution introduces a fundamental challenge: the lack of a standardized communication stack capable of supporting cross-platform integration. The widespread use of proprietary... N.K. Wagner, C. Teixeira, V. Fontena, C.S. Junior, O.A. Cruz, P.H. Morgan Pereira Download paper
6. Orchestration of Missions for Coordination between Autonomous Agents in Agriculture. Due to technological advancement in agriculture, various autonomous agents, such as drones, mobile robots, and intelligent agricultural vehicles, are being used to automate repetitive tasks and increase agricultural production. In addition, these agents, often developed by different manufacturers and endowed with different capabilities, form a highly heterogeneous environment, imposing a central challenge to be solved: the need to manage these agents so that they can act in a coordinated and effective... V. Fontena, N.K. Wagner, C. Teixeira, J. Lopes, L. Moura, C. Guimarães Download paper

Filter results6 paper(s) found.

1. Economic Assessment of Soil Sampling Densities for Variable-Rate Fertilizer Prescription

Soil sampling and laboratory analysis represent a substantial share of operational costs in precision agriculture, making sampling density a crucial management parameter. Sampling density defines the resolution at which soil spatial variability is captured and directly influences the accuracy of spatial interpolation and fertilizer prescription maps. Due to high operational costs, reduced sampling densities are commonly adopted in practice, despite their known effects on map quality. This study... L. Delgado Bejarano, B. , A. Novaes Da Silva, L.R. Amaral

2. Estimation of Leaf Area in Hydroponic Microgreenhouses by Digital Image Processing and Color-Based Segmentation

Monitoring plant development is a fundamental pillar of precision agriculture, as leaf area is a primary indicator of photosynthetic capacity, transpiration rates, and overall biomass accumulation. In controlled environments such as hydroponic micro-greenhouses, real-time growth monitoring enables timely adjustments to nutrient film technique (NFT) parameters. However, conventional leaf area measurement methods often rely on invasive sampling or expensive, high-maintenance optical equipment, limiting... M. Andrade, J. Da Silva Fonseca, R. Toledo, F. Martin Carbajal Gamarra

Download paper

3. Autonomous Edge Computing Station for Precision Soil and Climate Monitoring in Remote and Low-Connectivity Environments

The expansion of Precision Agriculture (PA) into remote rural areas, particularly in developing countries like Brazil, is frequently hindered by severe infrastructure constraints. Large-scale adoption of digital tools faces the dual challenge of limited 4G/5G connectivity at the field level (the "talhão") and the high costs associated with conventional electrification and industrial-grade equipment. These barriers disproportionately affect small and medium-sized farmers, creating... M. Andrade, R. Toledo

Download paper

4. Evaluation of Convolutional Neural Network Architectures for Stress Detection in Eucalyptus saligna Using Multispectral UAV Imagery

Root malformation disorder (RMD) is a significant abiotic condition that impairs water and nutrient uptake in Eucalyptus saligna, leading to physiological stress and reduced stand uniformity. Early detection in commercial plantations is hampered by the extensive spatial scale and logistical limitations of manual field inspections. In this context, the present study evaluated the performance of three convolutional neural network (CNN) architectures, U-Net, U-Net++, and Attention U-Net, in detecting... L.D. Amaral, S.D. Pereira Da Silva, R.A. Fantinel, V. Richter, N.

Download paper

5. Software Protocol Converters as Enablers for Interoperability in Heterogeneous Multi-Robot Systems

Advancements in agricultural robotics are driving a transition toward ecosystems composed of heterogeneous platforms from multiple manufacturers. In this context, robotic platforms from multiple vendors must coexist and collaborate to perform complex tasks, including autonomous monitoring and precision weeding. However, this evolution introduces a fundamental challenge: the lack of a standardized communication stack capable of supporting cross-platform integration. The widespread use of proprietary... N.K. Wagner, C. Teixeira, V. Fontena, C.S. Junior, O.A. Cruz, P.H. Morgan Pereira

Download paper

6. Orchestration of Missions for Coordination between Autonomous Agents in Agriculture.

Due to technological advancement in agriculture, various autonomous agents, such as drones, mobile robots, and intelligent agricultural vehicles, are being used to automate repetitive tasks and increase agricultural production. In addition, these agents, often developed by different manufacturers and endowed with different capabilities, form a highly heterogeneous environment, imposing a central challenge to be solved: the need to manage these agents so that they can act in a coordinated and effective... V. Fontena, N.K. Wagner, C. Teixeira, J. Lopes, L. Moura, C. Guimarães

Download paper