Proceedings :: International Society of Precision Agriculture

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Ductra Bortolotti, G

De Araujo, H

Hajda, C

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Authors

Adhikari, K

Smith, D.R

Hajda, C

Owens, P.R

Veiga, A

De Araujo, H

Tetard, L

Faucon, M

Ugarte, C

Rolim Farias da Silva, E

Lüdtke, L

Ductra Bortolotti, G

Maldaner, I

, L

Sgarbossa, J

Silveira Pavão, L

Müllich, A

Topics

Proximal and Remote Sensing of Soil and Crop (including Phenotyping)

Site-Specific Nutrient, Lime and Seed Management

Precision Crop Protection, Pest, and Plant Health

Type

Poster

Oral

Year

2022

2026

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Filter results3 paper(s) found.
1. Mapping Soil Health and Grain Quality Variations Across a Corn Field in Texas Soil health is a key property of soils influencing grain yield and quality. Within-field mapping of soil health index and grain quality can help farmers and managers to adjust site-specific farm management decisions for economic benefits. A study was conducted to map within-field soil health and grain protein and oil content variations using apparent electrical conductivity (ECa) and terrain attributes as their predictors. Two hundred and two topsoil samples were analyzed to determine soil health... K. Adhikari, D.R. Smith, C. Hajda, P.R. Owens Download paper
2. Impact of Soil Heterogeneity and Precision Air Seed Drill Settings on Maize Emergence Uniformity: Toward Sensor-based Predictive Models Soil spatial heterogeneity at the intra-field scale strongly constrains crop establishment. This heterogeneity in soil texture, strength, and moisture often leads to uneven seed-soil contact and inconsistent emergence, reducing yield potential. Extreme climatic conditions, such as soil saturation or drought, amplify these challenges and further compromise uniform crop emergence. Although this issue is widely acknowledged, accounting for soil heterogeneity remains poorly integrated in... A. Veiga, H. De Araujo, L. Tetard, M. Faucon, C. Ugarte Download paper
3. Digital Agriculture in Decision-Making for Sustainable Disease Management in Soybean Crops Soybean (Glycine max L.) stands out as one of the main crops of agronomic interest, widely used in human and animal nutrition due to its high protein content and diversity of derivatives. Soybean crop productivity is strongly influenced by meteorological conditions, adopted management practices, and the incidence of pathogens, which can significantly reduce the plant’s photosynthetically active area, directly impacting final yield. In this context, the present study aimed to evaluate... E. Rolim Farias Da Silva, L. Lüdtke, G. Ductra Bortolotti, I. Maldaner, L. , J. Sgarbossa, L. Silveira Pavão, A. Müllich Download paper

Filter results3 paper(s) found.

1. Mapping Soil Health and Grain Quality Variations Across a Corn Field in Texas

Soil health is a key property of soils influencing grain yield and quality. Within-field mapping of soil health index and grain quality can help farmers and managers to adjust site-specific farm management decisions for economic benefits. A study was conducted to map within-field soil health and grain protein and oil content variations using apparent electrical conductivity (ECa) and terrain attributes as their predictors. Two hundred and two topsoil samples were analyzed to determine soil health... K. Adhikari, D.R. Smith, C. Hajda, P.R. Owens

Download paper

2. Impact of Soil Heterogeneity and Precision Air Seed Drill Settings on Maize Emergence Uniformity: Toward Sensor-based Predictive Models

Soil spatial heterogeneity at the intra-field scale strongly constrains crop establishment. This heterogeneity in soil texture, strength, and moisture often leads to uneven seed-soil contact and inconsistent emergence, reducing yield potential. Extreme climatic conditions, such as soil saturation or drought, amplify these challenges and further compromise uniform crop emergence. Although this issue is widely acknowledged, accounting for soil heterogeneity remains poorly integrated in... A. Veiga, H. De Araujo, L. Tetard, M. Faucon, C. Ugarte

Download paper

3. Digital Agriculture in Decision-Making for Sustainable Disease Management in Soybean Crops

Soybean (Glycine max L.) stands out as one of the main crops of agronomic interest, widely used in human and animal nutrition due to its high protein content and diversity of derivatives. Soybean crop productivity is strongly influenced by meteorological conditions, adopted management practices, and the incidence of pathogens, which can significantly reduce the plant’s photosynthetically active area, directly impacting final yield. In this context, the present study aimed to evaluate... E. Rolim Farias Da Silva, L. Lüdtke, G. Ductra Bortolotti, I. Maldaner, L. , J. Sgarbossa, L. Silveira Pavão, A. Müllich

Download paper