Proceedings :: International Society of Precision Agriculture

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De Oliveira Vieira, I

Dhaliwal, A.K

Da Costa, O.P

DE SOUZA Santos, R

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Authors

Costa Barboza, T

Da Costa, O.P

Queiroz, R.F

Lacerda, L

Felipe dos Santos, A

Silva, S.G

Bhattarai, A

Jakhar, A

Poudel, K

Dhaliwal, A.K

Bastos, L.M

DE SOUZA Santos, R

HINES PORPINO SANTOS, E

FREITAS DO NASCIMENTO, J

FARIAS DO NASCIMENTO, J

GOMES MESQUITA, D

FREITAS DA SILVA, T

SILVA CAVALHEIRO, G

Topics

Remote and Proximal Sensing of Soils and Crops

Weather, Climate Models, and Smart Forecasting for Agriculture

Site-Specific Nutrient, Lime and Seed Management

Type

Poster

Year

2026

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Authors

Filter results3 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. Evaluation of Kriging Models and Variogram Structures for Daily Weather Interpolation Across Georgia, United States Spatial interpolation fills gaps between scattered weather stations to create continuous maps of variables like temperature. In Georgia, USA—a state with rolling hills in the north, coastal plains in the south, and the Appalachian foothills—this process is vital for accurate climate monitoring, irrigation scheduling, and crop-yield forecasting. Without reliable grids, downstream models suffer from bias or uncertainty. This study aimed to assess...
3. Development and Field Validation of SMART-C: A Geostatistics and PCA-Based Decision Framework for Site-Specific Cocoa Management in the Brazilian Amazon Cocoa production plays a major socioeconomic role in Pará State, Brazil’s largest producing region, with annual output exceeding 140 thousand tons. Although Brazil ranks among the world’s leading cocoa producers, most production systems are still managed using field-average approaches that disregard within-field spatial variability of soil attributes and crop performance. This limitation restricts input efficiency and long-term system sustainability in perennial tropical systems.This...

Filter results3 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. Evaluation of Kriging Models and Variogram Structures for Daily Weather Interpolation Across Georgia, United States

Spatial interpolation fills gaps between scattered weather stations to create continuous maps of variables like temperature. In Georgia, USA—a state with rolling hills in the north, coastal plains in the south, and the Appalachian foothills—this process is vital for accurate climate monitoring, irrigation scheduling, and crop-yield forecasting. Without reliable grids, downstream models suffer from bias or uncertainty. This study aimed to assess...

3. Development and Field Validation of SMART-C: A Geostatistics and PCA-Based Decision Framework for Site-Specific Cocoa Management in the Brazilian Amazon

Cocoa production plays a major socioeconomic role in Pará State, Brazil’s largest producing region, with annual output exceeding 140 thousand tons. Although Brazil ranks among the world’s leading cocoa producers, most production systems are still managed using field-average approaches that disregard within-field spatial variability of soil attributes and crop performance. This limitation restricts input efficiency and long-term system sustainability in perennial tropical systems.This...