Proceedings :: International Society of Precision Agriculture

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Conceicao da Silva, L

Tancredi, F.D

Chiduwa, M.S

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Authors

Simwaka, P

Huth, N

Maclaren, C

Omondi, J

Nyagumbo, I

Öborn, I

Masikati, P

Chiduwa, M.S

Lana, M

Leite, D.H

Valente, D.S

Arruda, P.M

Tancredi, F.D

Queiroz, D

Dumbá Monteiro de Castro, G

Topics

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Decision Support Systems, Cloud Platforms, and Open Data Solutions

Type

Poster

Oral

Year

2026

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Authors

Filter results2 paper(s) found.
1. Evaluating APSIM for Precision Optimization of Planting Windows and Nitrogen Management in Maize-Soybean Intercropping Systems in Malawi Maize-soybean intercropping is a key strategy for improving food security and resource-use efficiency in smallholder systems in sub-Saharan Africa. In Malawi, soybean promotion supports sustainable intensification, yet optimizing planting windows, spatial arrangements, and nitrogen (N) management under variable rainfall remains challenging. This study assesed the capability of the Agricultural Production Systems Simulator (APSIM) to simulate maize-soybean performance and identify precision...
2. Web Application Based on CNN for Classification of Biotic and Abiotic Stresses in Coffee Leaves The use of digital systems can assist coffee growers and professionals in diagnosing stresses that affect coffee plantations, ensuring that crop management is carried out correctly and efficiently. Therefore, the aim of this study was to develop a web application based on a pre-trained Convolutional Neural Network to classify coffee leaf images exhibiting symptoms of biotic and abiotic stresses. Initially, a dataset consisting of coffee leaf images affected by biotic and abiotic stresses was constructed.... D.H. Leite, D.S. Valente, P.M. Arruda, F.D. Tancredi, D. Queiroz, G. Dumbá Monteiro De Castro Download paper

Filter results2 paper(s) found.

1. Evaluating APSIM for Precision Optimization of Planting Windows and Nitrogen Management in Maize-Soybean Intercropping Systems in Malawi

Maize-soybean intercropping is a key strategy for improving food security and resource-use efficiency in smallholder systems in sub-Saharan Africa. In Malawi, soybean promotion supports sustainable intensification, yet optimizing planting windows, spatial arrangements, and nitrogen (N) management under variable rainfall remains challenging. This study assesed the capability of the Agricultural Production Systems Simulator (APSIM) to simulate maize-soybean performance and identify precision...

2. Web Application Based on CNN for Classification of Biotic and Abiotic Stresses in Coffee Leaves

The use of digital systems can assist coffee growers and professionals in diagnosing stresses that affect coffee plantations, ensuring that crop management is carried out correctly and efficiently. Therefore, the aim of this study was to develop a web application based on a pre-trained Convolutional Neural Network to classify coffee leaf images exhibiting symptoms of biotic and abiotic stresses. Initially, a dataset consisting of coffee leaf images affected by biotic and abiotic stresses was constructed.... D.H. Leite, D.S. Valente, P.M. Arruda, F.D. Tancredi, D. Queiroz, G. Dumbá Monteiro De Castro

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