Proceedings :: International Society of Precision Agriculture

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Tanaka, T.S

Rodrigues Oliveira, J.D

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Authors

Cammarano, D

Ata-Ul-Karim, S

Canicatti, M

Abalos, D

Zhou, Y

Tanaka, T.S

Butterbach-Bahl, K

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

Digital Solutions for Soil Health, Water Quality, and Conservation Practices

Remote and Proximal Sensing of Soils and Crops

Precision Horticulture and Specialty Crop Management

Type

Oral

Poster

Year

2026

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Filter results3 paper(s) found.
1. System-based Precision Agriculture for Sustainable Crop Production The major challenge addressed is the systemic mismanagement of nitrogen (N) fertilizer in agricultural fields leading to problems such as leaching of nitrates into groundwater and emission of harmful greenhouse gases. Digital technologies are commercialized in agriculture (available from the early 1990s) but have failed with N fertilization. Despite agriculture is the least digitized sector (as highlighted at the last World Economic Forum) to make a reliable recommendation, researchers need to... D. Cammarano, S. Ata-ul-karim, M. Canicatti, D. Abalos, Y. Zhou, T.S. Tanaka, K. Butterbach-bahl 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. System-based Precision Agriculture for Sustainable Crop Production

The major challenge addressed is the systemic mismanagement of nitrogen (N) fertilizer in agricultural fields leading to problems such as leaching of nitrates into groundwater and emission of harmful greenhouse gases. Digital technologies are commercialized in agriculture (available from the early 1990s) but have failed with N fertilization. Despite agriculture is the least digitized sector (as highlighted at the last World Economic Forum) to make a reliable recommendation, researchers need to... D. Cammarano, S. Ata-ul-karim, M. Canicatti, D. Abalos, Y. Zhou, T.S. Tanaka, K. Butterbach-bahl

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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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