Proceedings :: International Society of Precision Agriculture

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Rolim Farias da Silva, E

Rodrigues Oliveira, J.D

Ruiz Moreno, T

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Authors

Maestrini, B

Pott, L.P

Bamberg, D

Liska, T

Rosado, T

Sander, L

Ruiz Moreno, T

Garcia Dutrez, N

Doeler, F

Van Der Wal, T

Kaster Marini, V

Amado, T

Nieuwenhuizen

Dos Reis Rodrigues, A.E

da Silva, M.A

Rodrigues Oliveira, J.D

Ribeiro Silva, G

Lopes de Brito Filho, A

da Silva Brochado, M.G

Krohn, N.G

Morlin Carneiro, F

Vidigal Maciel, T

Albuquerque Araujo, G

de Oliveira Cavalheiro, H

Matwijou, B

da Silva, M.A

Lopes de Brito Filho, A

da Silva Brochado, M.G

Rodrigues Oliveira, J.D

Topics

Site-Specific Nutrient, Lime and Seed Management

Remote and Proximal Sensing of Soils and Crops

Precision Horticulture and Specialty Crop Management

Type

Poster

Year

2026

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Filter results3 paper(s) found.
1. Variable Seeding Rate to Manage Within-field Variability Within-field variability can strongly influence final crop yield and the efficiency of agricultural inputs such as seeds, fertilizer, water, and agrochemicals, thus managing spatial variability through precision agriculture to optimize input use and improve sustainability can yield significant gains, provided that the mechanisms driving field variability are understood. Despite extensive research on the relationship between seeding density and yield, relatively little attention has been given... B. Maestrini, L.P. Pott, D. Bamberg, T. Liska, T. Rosado, L. Sander, T. Ruiz Moreno, N. Garcia Dutrez, F. Doeler, T. Van Der Wal, V. Kaster Marini, T. Amado, Nieuwenhuizen Download paper
2. Utilization of Proximal Remote Sensing As a Non-destructive Method for Assessing the Quality of Corn Seeds The physiological quality of corn seeds plays a key role in crop establishment. It directly influences final productivity. Although germination and vigor tests are well established, they have practical limitations. These tests are time-consuming. They require laboratory infrastructure and can involve destructive procedures. These factors limit their use in situations demanding faster, scalable assessments. In this scenario, proximal remote sensing has gained attention as a practical, non-destructive... A.E. Dos Reis Rodrigues, M.A. Da Silva, J.D. Rodrigues Oliveira, G. Ribeiro Silva, A. Lopes De Brito Filho, M.G. Da Silva Brochado, N.G. Krohn, F. Morlin Carneiro Download paper
3. Non-destructive Detection of Herbicide Damage in Curly Lettuce Using Spectral Data and Machine Learning Algorithms Curly lettuce (Lactuca sativa var. crispa) is a prominent horticultural crop due to its high demand for both production and human consumption. It plays a vital role in creating healthier, more balanced diets. However, the application of phytosanitary products, such as herbicides, whether applied by air or land, can lead to chemical drift into adjacent areas, negatively impacting sensitive crops. This drift can cause phytotoxicity and, in severe cases, result in total crop loss, depending on factors... F. Morlin Carneiro, T. Vidigal Maciel, G. Albuquerque Araujo, H. De Oliveira Cavalheiro, B. Matwijou, M.A. Da Silva, A. Lopes De Brito Filho, M.G. Da Silva Brochado, J.D. Rodrigues Oliveira Download paper

Filter results3 paper(s) found.

1. Variable Seeding Rate to Manage Within-field Variability

Within-field variability can strongly influence final crop yield and the efficiency of agricultural inputs such as seeds, fertilizer, water, and agrochemicals, thus managing spatial variability through precision agriculture to optimize input use and improve sustainability can yield significant gains, provided that the mechanisms driving field variability are understood. Despite extensive research on the relationship between seeding density and yield, relatively little attention has been given... B. Maestrini, L.P. Pott, D. Bamberg, T. Liska, T. Rosado, L. Sander, T. Ruiz Moreno, N. Garcia Dutrez, F. Doeler, T. Van Der Wal, V. Kaster Marini, T. Amado, Nieuwenhuizen

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2. Utilization of Proximal Remote Sensing As a Non-destructive Method for Assessing the Quality of Corn Seeds

The physiological quality of corn seeds plays a key role in crop establishment. It directly influences final productivity. Although germination and vigor tests are well established, they have practical limitations. These tests are time-consuming. They require laboratory infrastructure and can involve destructive procedures. These factors limit their use in situations demanding faster, scalable assessments. In this scenario, proximal remote sensing has gained attention as a practical, non-destructive... A.E. Dos Reis Rodrigues, M.A. Da Silva, J.D. Rodrigues Oliveira, G. Ribeiro Silva, A. Lopes De Brito Filho, M.G. Da Silva Brochado, N.G. Krohn, F. Morlin Carneiro

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3. Non-destructive Detection of Herbicide Damage in Curly Lettuce Using Spectral Data and Machine Learning Algorithms

Curly lettuce (Lactuca sativa var. crispa) is a prominent horticultural crop due to its high demand for both production and human consumption. It plays a vital role in creating healthier, more balanced diets. However, the application of phytosanitary products, such as herbicides, whether applied by air or land, can lead to chemical drift into adjacent areas, negatively impacting sensitive crops. This drift can cause phytotoxicity and, in severe cases, result in total crop loss, depending on factors... F. Morlin Carneiro, T. Vidigal Maciel, G. Albuquerque Araujo, H. De Oliveira Cavalheiro, B. Matwijou, M.A. Da Silva, A. Lopes De Brito Filho, M.G. Da Silva Brochado, J.D. Rodrigues Oliveira

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