Proceedings :: International Society of Precision Agriculture

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Song, Y

Souza Filho, H.M

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Authors

Xu, X

Meng, Y

Yang, G

Song, Y

Xue, H

da Silva Gonçalves, G

Carrer, M.J

de Mello Brandão Vinholis, M

David, L

Souza Filho, H.M

Bonjour, E

David, L

Carrer, M.J

de Mello Brandão Vinholis, M

Souza Filho, H.M

Topics

Remote and Proximal Sensing of Soils and Crops

Drivers and Barriers to Adoption of Precision and Digital Technologies

Precision Dairy, Livestock, and Animal Welfare Monitoring

Type

Poster

Year

2026

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Authors

Filter results3 paper(s) found.
1. Evaluation of Vertical C/N Distribution in Maize Canopy Using Ensemble Learning with Hyperspectral Data Metabolic status of carbon (C) and nitrogen (N) as two essential elements in crop plants has essential influence on the ultimate formation of yield and quality in crop production. Ratio of carbon to nitrogen (C/N), defined as the ratio of LCC (leaf carbon concentration) to LNC (leaf nitrogen concentration), is useful for understanding and quantifying carbon and nitrogen metabolism in crops, and is one metrics for effectively evaluating the balance of carbon and nitrogen, nutrient status and growth... X. Xu, X. Xu, Y. Meng, G. Yang, Y. Song, H. Xue Download paper
2. Determinants of the Intensity of Digital Precision Technology Adoption in Brazilian Feedlots Precision livestock farming has gained prominence as a tool to enhance managerial control and reduce risk in intensive production systems. In the case of Brazilian beef cattle feedlots, characterized by high price volatility, tight margins, and increasing pressure for environmental performance, the adoption of digital technologies represents a relevant strategy to improve decision-making processes. Unlike studies that focus solely on binary adoption (adopt/non-adopt), understanding adoption intensity... G. , M.J. Carrer, M. , L.C. David, H.M. Souza Filho, E. Bonjour Download paper
3. Digital Transformation and Efficiency Gains in Intensive Livestock Systems: Evidence from Brazilian Feedlots Precision livestock farming has emerged as central strategies to enhance productive efficiency, reduce waste, and improve the sustainability of agricultural systems. In beef cattle feedlots, digital technologies such feeding automation sensors is particularly relevant. The technology reduces feed waste, improves the planning of input purchases and cost control, and reduces the need for manual labor for weighing and distributing feed, allowing the team to focus on strategic activities. In the Brazilian... L.C. David, M.J. Carrer, M. , H.M. Souza Filho Download paper

Filter results3 paper(s) found.

1. Evaluation of Vertical C/N Distribution in Maize Canopy Using Ensemble Learning with Hyperspectral Data

Metabolic status of carbon (C) and nitrogen (N) as two essential elements in crop plants has essential influence on the ultimate formation of yield and quality in crop production. Ratio of carbon to nitrogen (C/N), defined as the ratio of LCC (leaf carbon concentration) to LNC (leaf nitrogen concentration), is useful for understanding and quantifying carbon and nitrogen metabolism in crops, and is one metrics for effectively evaluating the balance of carbon and nitrogen, nutrient status and growth... X. Xu, X. Xu, Y. Meng, G. Yang, Y. Song, H. Xue

Download paper

2. Determinants of the Intensity of Digital Precision Technology Adoption in Brazilian Feedlots

Precision livestock farming has gained prominence as a tool to enhance managerial control and reduce risk in intensive production systems. In the case of Brazilian beef cattle feedlots, characterized by high price volatility, tight margins, and increasing pressure for environmental performance, the adoption of digital technologies represents a relevant strategy to improve decision-making processes. Unlike studies that focus solely on binary adoption (adopt/non-adopt), understanding adoption intensity... G. , M.J. Carrer, M. , L.C. David, H.M. Souza Filho, E. Bonjour

Download paper

3. Digital Transformation and Efficiency Gains in Intensive Livestock Systems: Evidence from Brazilian Feedlots

Precision livestock farming has emerged as central strategies to enhance productive efficiency, reduce waste, and improve the sustainability of agricultural systems. In beef cattle feedlots, digital technologies such feeding automation sensors is particularly relevant. The technology reduces feed waste, improves the planning of input purchases and cost control, and reduces the need for manual labor for weighing and distributing feed, allowing the team to focus on strategic activities. In the Brazilian... L.C. David, M.J. Carrer, M. , H.M. Souza Filho

Download paper