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Silveira Farias, M
Zandonadi, R
Bernardi, A.C
Costa, P.S
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Authors
Kern, L.G
Silveira Pavão, L
Müllich,
Maldaner, I
, L
Sgarbossa, J
Kaefer Seganfredo, G
Rolim Farias da Silva, E
Silveira Farias, M
Costa G. da Silva, Y
Freitas, E
Costa, P.S
Beserra, D.V
Gomes, D.G
Zandonadi, R
Rosa, S.C
Valente , D.S
Ferreira dos Santos, D
Rosa, S.C
Zandonadi, R
Bernardi, A.C
Topics
Decision Support Systems, Cloud Platforms, and Open Data Solutions
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Site-Specific Nutrient, Lime and Seed Management
Invited Presentations
Type
Poster
Oral
Year
2026
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Filter results5 paper(s) found.

1. Spatial Delineation of Site-Specific Management Units Using Vegetation Indices in Precision Agriculture

Precision Agriculture has incorporated Remote Sensing as an essential tool for characterizing the spatial variability of agricultural crops. Among the available spectral indices, vegetation indices stand out for their ability to represent vegetative vigor and spatial patterns associated with crop performance. This study aimed to evaluate the spatial stability of spectral indices obtained from a median composite for management zone delineation and to analyze their agreement with a yield map in... L.G. Kern, L. Silveira Pavão, . Müllich, I. Maldaner, L. , J. Sgarbossa, G. Kaefer Seganfredo, E. Rolim Farias Da Silva, M. Silveira Farias

2. Detection of Banana Bunches and Peduncles in the Prata Catarina Cultivar Using Faster R-CNN With Transfer Learning

Banana is one of the most produced and consumed fruits worldwide, being strategic for precision agriculture, especially in applications aimed at intelligent management and automated harvesting. Its economic and social relevance in tropical countries reinforces the need for technological solutions that increase productive efficiency and reduce losses in the field. In this context, the automatic detection of bunches and stalks in a natural environment represents a relevant challenge due to occlusion,... Y. Costa G. Da Silva, E. Freitas, P.S. Costa, D.V. Beserra, D.G. Gomes

3. Evaluation of DC-based Equipment for Apparent Soil Electrical Conductivity Measurement

Apparent soil electrical conductivity (ECa) is a soil parameter used for precision agriculture applications where knowledge of the spatial variability of soil attributes is an important aspect to know.  Researchers have concluded that ECa is powerful for spatial heterogeneity characterization of several physicochemical properties, identifying edaphic and anthropogenic factors that may influence crop yield, and provides a viable approach for delineating areas that behave similarly with respect... R. Zandonadi, S.C. Rosa, D.S. Valente

4. As-applied Maps of Planter Performance During Corn Planting – How the Numbers Looks Like After Plant Emergence

High-quality planting operations are important for high yield crops. Poor distribution compromises emergence and plant development, thus affecting crop productivity. Therefore, uniformity of seed distribution in the soil, with adequate depth and spacing, is essential for high yield. Moreover, embedded electronics on modern planters allow data collection from sensors that provide information regarding planter performance such as measurements of seed spacing quality (doubles, skips, singularity... D. Ferreira Dos Santos, S.C. Rosa, R. Zandonadi

5. Integrated Production Systems and Low-Carbon Agriculture in the Context of Agriculture 4.0

... A.C. Bernardi