Proceedings :: International Society of Precision Agriculture

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Sandri Sana, R

Silva, S.G

De Araujo Pedron, F

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Authors

Costa Barboza, T

Da Costa, O.P

Queiroz, R.F

Lacerda, L

Felipe dos Santos, A

Silva, S.G

Moura Bueno, J.

Rech, L.F

Diniz Dalmolin, R.S

de Paula Amaral, L

Buana, I

De Araujo Pedron, F

Topics

Remote and Proximal Sensing of Soils and Crops

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Type

Poster

Year

2026

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Filter results2 paper(s) found.
1. Detection of Chlorophyll A and B in Maize Using Visible Reflectance under Conventional and Variable Rate Nitrogen Management Plant-environmental interactions regulate physiological aspects that determine crop yield. However, measuring physiological parameters in-field remains a challenge, as sampling often requires time-consuming laboratory analysis. Therefore, this study analyzed the influence of reflectance using a handheld sensor in detect chlorophyll A and B in different nitrogen application strategies before and after sidedressing. The experiment was conducted at a commercial farm in Campo do Meio, Minas Gerais,... T. Costa Barboza, O.P. Da Costa, R.F. Queiroz, L. Lacerda, A. Felipe Dos Santos, S.G. Silva Download paper
2. Field-scale Prediction of Soil Organic Carbon Using Integrated Proximal Sensing and Terrain Covariates The knowledge of soil organic carbon (SOC) is essential for climate change mitigation strategies, soil security, and management within precision agriculture scenarios in agricultural areas. The use of approaches integrating spectral and magnetic sensor data with topographic covariates has shown promise for predicting SOC along the soil profile. In this context, the study aimed to develop predictive models of SOC content at depth through the integration of proximal sensing data and topographic... J. Moura Bueno, L.F. Rech, R.S. Diniz Dalmolin, L. De Paula Amaral, I. Buana, F. De Araujo Pedron

Filter results2 paper(s) found.

1. Detection of Chlorophyll A and B in Maize Using Visible Reflectance under Conventional and Variable Rate Nitrogen Management

Plant-environmental interactions regulate physiological aspects that determine crop yield. However, measuring physiological parameters in-field remains a challenge, as sampling often requires time-consuming laboratory analysis. Therefore, this study analyzed the influence of reflectance using a handheld sensor in detect chlorophyll A and B in different nitrogen application strategies before and after sidedressing. The experiment was conducted at a commercial farm in Campo do Meio, Minas Gerais,... T. Costa Barboza, O.P. Da Costa, R.F. Queiroz, L. Lacerda, A. Felipe Dos Santos, S.G. Silva

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2. Field-scale Prediction of Soil Organic Carbon Using Integrated Proximal Sensing and Terrain Covariates

The knowledge of soil organic carbon (SOC) is essential for climate change mitigation strategies, soil security, and management within precision agriculture scenarios in agricultural areas. The use of approaches integrating spectral and magnetic sensor data with topographic covariates has shown promise for predicting SOC along the soil profile. In this context, the study aimed to develop predictive models of SOC content at depth through the integration of proximal sensing data and topographic... J. Moura Bueno, L.F. Rech, R.S. Diniz Dalmolin, L. De Paula Amaral, I. Buana, F. De Araujo Pedron