Proceedings :: International Society of Precision Agriculture

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Hatum de Almeida, S.L

Espindola Muller, L

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Authors

Gomes Mesquita , G

Costa Souza, J.B

De Oliveira Vieira, I

Hatum de Almeida, S.L

Carreira, V.D

Pereira da Silva, R.P

Felipe dos Santos, A

Nogueira, B

Bender, E

de Carvalho Arruda, D

da Costa Salem, M

Espindola Muller, L

dos Santos Gonçalves Junior, S.R

Eissmann Souza, G

Muller Klassmann, J.V

Gallo, B.B

Bredemeier, C

Gonçalves Junior, S.R

da Costa Salem, M

Eissmann Souza, G

Carvalho de Arruda, D

Bender, E

Nogueira, B

Espindola Muller, L

Gallo, B.B

Bredemeier, C

Topics

Precision Crop Protection, Pest, and Plant Health

Remote and Proximal Sensing of Soils and Crops

Type

Oral

Poster

Year

2026

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Filter results3 paper(s) found.
1. Evaluation of Horizontal Distribution in Spraying with RPA in Static and Dynamic Modes The application of plant protection products (PPPs) using remotely piloted aircraft (RPA) represents a significant innovation in the context of modern agriculture, especially regarding the pursuit of greater operational efficiency and the reduction of environmental impacts. The use of this technology has stood out for the possibility of carrying out more precise applications, with better control of droplet deposition and potential reduction in in input consumption. However, despite its promising... G. Gomes Mesquita , J.B. Costa Souza, I. De Oliveira Vieira, S.L. Hatum De Almeida, V.D. Carreira, R.P. Silva, A. Felipe Dos Santos
2. Selection of UAV-based Vegetation Indices for the Prediction of Leaf Chlorophyll Content in Maize Using a Normalized Partial Least Squares Regression (PLSR) Reduction Approach The accurate monitoring of the nutritional status is essential for optimizing nitrogen (N) fertilization and maximizing maize grain yield. Variations in N availability directly affect agronomic parameters such as leaf chlorophyll content, which can be estimated using optical sensors. This study assessed the effects of urease inhibitors and nitrogen application rates on leaf chlorophyll content and predicted total leaf chlorophyll content in maize using relevant vegetation indices under field conditions.... B. Nogueira, E. Bender, D. De Carvalho Arruda, M. Da Costa Salem, L. Espindola Muller, S.R. Dos Santos Gonçalves Junior, G. Eissmann Souza, J.V. Muller Klassmann, B.B. Gallo, C. Bredemeier Download paper
3. Hyperspectral Imagery for Prediction of Leaf Chlorophyll Content in Maize Under the Application of Different Urease Inhibitors Using Machine Learning Urea is the most common and widely used nitrogen (N) source. However, it is highly susceptible to ammonia volatilization losses, especially under favorable climatic conditions. The use of urease inhibitors becomes an important strategy because these compounds slow down the hydrolysis of urea, increasing efficiency in terms of N assimilation, enhancing leaf chlorophyll content, promoting plant growth, and maximizing maize grain yield. In parallel, hyperspectral sensors have emerged as a non-destructive... S.R. Gonçalves Junior, M. Da Costa Salem, G. Eissmann Souza, D. Carvalho De Arruda, E. Bender, B. Nogueira, L. Espindola Muller, B.B. Gallo, C. Bredemeier Download paper

Filter results3 paper(s) found.

1. Evaluation of Horizontal Distribution in Spraying with RPA in Static and Dynamic Modes

The application of plant protection products (PPPs) using remotely piloted aircraft (RPA) represents a significant innovation in the context of modern agriculture, especially regarding the pursuit of greater operational efficiency and the reduction of environmental impacts. The use of this technology has stood out for the possibility of carrying out more precise applications, with better control of droplet deposition and potential reduction in in input consumption. However, despite its promising... G. Gomes Mesquita , J.B. Costa Souza, I. De Oliveira Vieira, S.L. Hatum De Almeida, V.D. Carreira, R.P. Silva, A. Felipe Dos Santos

2. Selection of UAV-based Vegetation Indices for the Prediction of Leaf Chlorophyll Content in Maize Using a Normalized Partial Least Squares Regression (PLSR) Reduction Approach

The accurate monitoring of the nutritional status is essential for optimizing nitrogen (N) fertilization and maximizing maize grain yield. Variations in N availability directly affect agronomic parameters such as leaf chlorophyll content, which can be estimated using optical sensors. This study assessed the effects of urease inhibitors and nitrogen application rates on leaf chlorophyll content and predicted total leaf chlorophyll content in maize using relevant vegetation indices under field conditions.... B. Nogueira, E. Bender, D. De Carvalho Arruda, M. Da Costa Salem, L. Espindola Muller, S.R. Dos Santos Gonçalves Junior, G. Eissmann Souza, J.V. Muller Klassmann, B.B. Gallo, C. Bredemeier

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3. Hyperspectral Imagery for Prediction of Leaf Chlorophyll Content in Maize Under the Application of Different Urease Inhibitors Using Machine Learning

Urea is the most common and widely used nitrogen (N) source. However, it is highly susceptible to ammonia volatilization losses, especially under favorable climatic conditions. The use of urease inhibitors becomes an important strategy because these compounds slow down the hydrolysis of urea, increasing efficiency in terms of N assimilation, enhancing leaf chlorophyll content, promoting plant growth, and maximizing maize grain yield. In parallel, hyperspectral sensors have emerged as a non-destructive... S.R. Gonçalves Junior, M. Da Costa Salem, G. Eissmann Souza, D. Carvalho De Arruda, E. Bender, B. Nogueira, L. Espindola Muller, B.B. Gallo, C. Bredemeier

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