Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Bernardes Júnior, E

Mércio, V.Z

McCarty, D

» Add more authors

Add filter to result:

Authors

Camargo, S

da Silveira, E.M

Nogueira, F.I

Campos, A.F

Mércio, V.Z

Ferraz, C

Fortes, R

Cabrera Dengra, M

Poli, J

Bernardes Júnior, E

do Vale Dondo, A

Carrillo Montoya, K

De Guzman, C

Burgos, N

Ramos, L

Gyanwali, P

Uzoetoh, U

McCarty, D

Reddy Kalluri, R

Mason, D

Topics

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Type

Oral

Year

2026

Home » Authors » Results

Authors

Filter results3 paper(s) found.
1. Estimating Grape Bunch Yield Using Convolutional Neural Networks and Proximal RGB Imaging in the Brazilian Pampa Viticulture of fine wines has become an increasingly important economic activity in the Pampa biome of southern Brazil, a relatively recent production frontier with approximately two decades of commercial development. In this emerging region, accurate prediction of grapewine productivity represents one of the most relevant challenges for growers, as reliable early estimates directly support decision-making related to harvest planning, logistics, labor allocation, and market... S. Camargo, E.M. Da Silveira, F.I. Nogueira, A.F. Campos, V.Z. Mércio Download paper
2. Operational Satellite Weed Detection Across 14,000 Sugarcane Fields: Lessons in Temporal Feature Design Weed infestations in sugarcane (Saccharum officinarum L.) can reduce yields by 20–60% depending on species composition and management timing, yet operational weed management at scale remains an unsolved challenge. Existing studies typically cover tens of fields; scaling to thousands introduces challenges in processing throughput, ground truth scarcity, and feature design. This work describes the development and operational deployment of a satellite-based weed detection system covering... C. Ferraz, R. Fortes, M. Cabrera Dengra, J. Poli, E. Bernardes Júnior, A. Do Vale Dondo Download paper
3. Temporal NDRE Dynamics from UAS Imagery to Characterize Rice Drought Response Characterizing drought resilience in rice remains challenging under increasing climate variability. Drought tolerance is a complex and dynamic trait that is difficult to quantify using traditional field phenotyping approaches, particularly when responses vary with time. High-throughput temporal phenotyping with unmanned aircraft systems (UAS) enables monitoring of canopy reflectance dynamics associated with water stress across the growing season. This study evaluated whether temporal...

Filter results3 paper(s) found.

1. Estimating Grape Bunch Yield Using Convolutional Neural Networks and Proximal RGB Imaging in the Brazilian Pampa

Viticulture of fine wines has become an increasingly important economic activity in the Pampa biome of southern Brazil, a relatively recent production frontier with approximately two decades of commercial development. In this emerging region, accurate prediction of grapewine productivity represents one of the most relevant challenges for growers, as reliable early estimates directly support decision-making related to harvest planning, logistics, labor allocation, and market... S. Camargo, E.M. Da Silveira, F.I. Nogueira, A.F. Campos, V.Z. Mércio

Download paper

2. Operational Satellite Weed Detection Across 14,000 Sugarcane Fields: Lessons in Temporal Feature Design

Weed infestations in sugarcane (Saccharum officinarum L.) can reduce yields by 20–60% depending on species composition and management timing, yet operational weed management at scale remains an unsolved challenge. Existing studies typically cover tens of fields; scaling to thousands introduces challenges in processing throughput, ground truth scarcity, and feature design. This work describes the development and operational deployment of a satellite-based weed detection system covering... C. Ferraz, R. Fortes, M. Cabrera Dengra, J. Poli, E. Bernardes Júnior, A. Do Vale Dondo

Download paper

3. Temporal NDRE Dynamics from UAS Imagery to Characterize Rice Drought Response

Characterizing drought resilience in rice remains challenging under increasing climate variability. Drought tolerance is a complex and dynamic trait that is difficult to quantify using traditional field phenotyping approaches, particularly when responses vary with time. High-throughput temporal phenotyping with unmanned aircraft systems (UAS) enables monitoring of canopy reflectance dynamics associated with water stress across the growing season. This study evaluated whether temporal...