https://www.alice.cnptia.embrapa.br/alice/handle/item/386 Artigo em anais de congresso (CNPUV) Wed, 22 Apr 2026 12:00:41 GMT 2026-04-22T12:00:41Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186027 Título: Creation of a gala apple fruit image database for Brazil. Autoria: SESSI, A. S.; FRANCO, A. F. M. F.; SILVA, E. C. da; MARCHIORETTO, L. de R.; DIAS, J. M.; ALVES, S. A. M.; GEBLER, L. Conteúdo: Information on land use and coverage is necessary to assist in the management process and assertive decision-making. Thus, the present study aimed to evaluate the fusion of Sentinel-1 (S1) and Sentinel-2 (S2) data in the mapping of land use and coverage of the municipality of Lagoinha (SP) using the Random Forest method. Three scenarios were tested for classification: data from (S1), (S2) and fusion of (S2+S1). To evaluate the accuracy of the classification, high-resolution images from Google Earth and S2 software were used. The overall accuracy of the classification from the combination of S2+S1 data was 94%, and the Kappa index was equal to 0.9. For the isolated images of S2 and S1, overall accuracies of 80% and 50% and Kappas index of 0.71 and 0.50 were obtained, respectively. The fusion of S1+S2 data showed high accuracy in mapping; Wed, 01 Jan 2025 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186027 2025-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186021 Título: Electronic McPhail trap for automatic south american fruit fly monitoring. Autoria: MARCHIORETTO, L. de R.; MEDEIROS, T. A.; GEBLER, L.; PAULA FILHO, P. L. de; BAZZI, C. L. Conteúdo: Apple is an important crop among the cultivated fruit crops in Brazil. Although, South American fruit fly is an important insect-pest that causes losses of production if not controlled. Monitoring involves placing one McPhail trap every two hectares and checking them weekly, which requires significant labor. With the scarcity of workers, and their high cost, a solution could be the use of electronic traps, which automatically identify and compute South American Fruit flies. Thus, the objective of this work was to evaluate in apple and pear orchards McPhail electronic traps and their effectiveness in identifying fruit flies and their attractiveness in relation to conventional McPhail traps. The electronic traps were effective in detecting South American fruit fly, although, they captured four times less flies in relation to conventional McPhail traps. The technology showed effectiveness. Future developments may consider redesigning the sensor distribution or implementing an alternative threshold control for the application of insecticides. Wed, 01 Jan 2025 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186021 2025-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186028 Título: Device for coupling to picking bags to collect data and generate yield maps for perennial crops. Autoria: MARCHIORETTO, L. de R.; TIMOTEO, V. M.; GEBLER, L.; BAZZI, C. L. Conteúdo: In orchards containing perennial crops, input management, including activities such as fertilization, pruning, and manual thinning is typically conducted at a block scale, thereby overlooking variations within the blocks. The creation of yield maps can be a useful tool to address heterogeneity and assist with decision making. To address this issue, a device equipped with batteries, a controller, a GPS module, and an RFID module was developed for attachment to picking bags. This facilitates further processing to generate yield maps. The devices are capable of generating yield maps to help to identify yield heterogeneity inside the apple blocks. Wed, 01 Jan 2025 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186028 2025-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186026 Título: Development of an image database of apple tree branches affected by european canker. Autoria: SILVA, E. C. da; SESSI, A. S.; MARCHIORETTO, L. de R.; FACUNDO, B. R.; PAULA FILHO, P. L. de; GEBLER, L.; ALVES, S. A. M. Conteúdo: European canker is a significant disease affecting apple trees in Brazil. Manual detection is labor-intensive and time-consuming, with limitations in the early identification of lesions. This study aims to develop faster and more efficient detection methods through an automated system based on sensors or image processing. To achieve this, the creation of a comprehensive image database of affected apple tree branches is essential. The research was divided into two stages, both focused on building this database. The first stage involved compiling an RGB image dataset of healthy and infected branches. The second stage documented canker at various stages of development through a controlled inoculation experiment, using RGB and multispectral (725 nm) cameras. Preliminary results indicate that the physiological changes caused by infection produce detectable differences in the images, particularly at wavelengths above 700 nm. This underscores the potential of this spectral range for detecting diseased branches. The resulting database will enable detailed spectral analysis and will later be used to train convolutional neural networks (CNNs) to identify early infection patterns. Wed, 01 Jan 2025 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186026 2025-01-01T00:00:00Z