|
|
|
| Plano de Ação: | 20.23.00.025.00.03 |
| Descrição: | SOUZA, A. M. de; BOLFE, E. L.; PORTO, M. M.; PARREIRAS, T. C.; NECHET, K. de L.; SANTOS, P. M. Priority areas for identifying traditional agricultural systems in the agrotechnological districts of Jacupiranga-SP and Lagoinha-SP. 20.23.00.025.00.00 In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 10-18. |
| Parceria/partes: | Embrapa Agricultura Digital (CNPTIA), Embrapa Pecuária Sudeste (CPPSE), UNICAMP - Universidade Estadual de Campinas, |
| Conteúdo: | Abstract: In this study, the landscape mosaic approach is presented as a strategy for identifying hotspots of Traditional Agricultural Systems (TAS). It analyzes land use and cover through spatial composition, resulting in a mapping strategy that links local socio-environmental interactions to territorial planning. However, identifying and characterizing TAS involves methodological challenges related to spatial heterogeneity. The approach is part of the contributions of the Remote Sensing axis of the Semear Digital project in connection with the Agro-Technological Districts (DATs). In this phase, we conducted an exploratory analysis to identify Priority Areas (PAs) based on the diversity of land use and land cover classes in the DATs of Lagoinha and Jacupiranga in São Paulo State. Six PAs were identified, one of which in Lagoinha. The composition and proportion of classes within the PAs reflect the historical patterns of land use and cover and the drivers of socioeconomic adaptations related to TAS. Technical, social, and economic factors necessary for methodological improvement were identified. The PAs can support the implementation of the mosaic-based approach and point to strategic areas for Semear Digital’s engagement with the DATs. |
| Observaçao: | ISBN: 978-85-86481-94-9. Acessível em: https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1185889/1/Anais-Workshop-Cientifico-Semear-Digital-2025.pdf (ID_PAT: 37993) |
|
|
|
| Plano de Ação: | 20.23.00.025.00.03 |
| Descrição: | OLIVEIRA JUNIOR, J. N. de; ROMANI, L. A. S.; SILVA, F. C. da; KIMPARA, J. M.; SANCHES, E. A.; CORREA, C. F.; NECHET, K. de L. Prospective study of the aquaculture value chain in the Vale do Ribeira region, São Paulo, Brazil. In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 218-222. |
| Parceria/partes: | Embrapa Agricultura Digital (CNPTIA), APTA - Agência Paulista de Tecnologia dos Agronegócios, UNESP - Universidade Estadual Paulista Julio de Mesquita Filho, |
| Conteúdo: | Abstract: Aquaculture is expanding in Brazil, being São Paulo a key producer. The Vale do Ribeira region, noted for its abundant water resources and infrastructure, shows strong potential despite productivity challenges. With 458 production units and 300 hectares of water surface, its main species are Nile tilapia and native round fish. The study maps Vale do Ribeira aquaculture value chain profile and highlights low technological adoption as a key barrier for its development. Semear Digital project emerges as a strategic initiative to foster digital inclusion and innovation. The findings inform public policies and investments to enhance sustainability and resilience in the sector. |
| Observaçao: | ISBN: 978-85-86481-94-9. Acessível em: https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1185889/1/Anais-Workshop-Cientifico-Semear-Digital-2025.pdf (ID_PAT: 37994) |
|
|
|
| Plano de Ação: | 20.23.00.025.00.03 |
| Descrição: | NECHET, K. de L.; GIACHETTO, P. F.; NOMURA, E. S.; HALFELD-VIEIRA, B. A. Unravelling the initial crucial steps for constructing a peach palm disease database to support the development of digital technologies. In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 267-273. |
| Parceria/partes: | Embrapa Agricultura Digital (CNPTIA), APTA - Agência Paulista de Tecnologia dos Agronegócios, |
| Conteúdo: | Abstract: Peach palm cultivation is the second most important crop in Jacupiranga, one of the municipalities in the state of São Paulo designated as Agro-technological Districts (ATD). There is an expectation of an increase in peach palm plantation, and producers have pointed out the need for digital technologies to support plant disease management. Assertive decision-making control depends on accurate diagnosis, which, for small and medium-sized producers, is based on symptoms images. Thus, this study aims at constructing a reliable database containing images of disease symptoms in peach palm and their causal agents to support the development of digital technologies. A Survey has been conducted in areas of peach palm cultivation in different municipalities of the Ribeira Valley, recording images in real-time field conditions of suspected disease symptoms, collecting samples, and analyzing associated pathogen structures. The microorganisms observed are isolated, preserved, and cultured to confirm pathogenicity. Over the 6-month survey period, the symptoms observed were leaf spots associated with the fungus Colletotrichum sp., and stem rot associated with bacterial colonization, although the causal agent of the latter still requires further investigation. It is important to distinguish the range of symptoms observed under field conditions to ensure an accurate identification that enables producers to adopt appropriate management strategies. These initial steps are crucial to construct a reliable peach palm disease database to support the development of digital technologies. |
| Observaçao: | ISBN: 978-85-86481-94-9. Acessível em: https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1185889/1/Anais-Workshop-Cientifico-Semear-Digital-2025.pdf (ID_PAT: 37995) |
|
|
|
| Plano de Ação: | 20.23.00.025.00.03 |
| Descrição: | BRUNO, V. E.; SILVA, G. B. S. da; PARREIRAS, T. C.; SOARES, V. B.; FURUYA, D. E. G.; NECHET, K. de L.; BOLFE, E. L. Mapping banana monocultures in Jacupiranga/SP using remote sensing and machine learning algorithm. In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 461-467. |
| Parceria/partes: | Embrapa Agricultura Digital (CNPTIA), UNICAMP - Universidade Estadual de Campinas, |
| Conteúdo: | Abstract: This study introduces a method for mapping banana monocultures in Jacupiranga, São Paulo, Brazil. The approach utilizes the Random Forest algorithm implemented on the Google Earth Engine (GEE) platform. The classification relied on images acquired from Landsat 8 and Landsat 9 satellites, covering two separate timeframes: 2024 and 2022-2024. The analysis utilized 395 pre-labeled vector samples, which were categorized into two distinct classes: banana monocultures (Class 1, comprising 198 samples) and other land cover types (Class 2, comprising 197 samples). The classification process generated three primary outputs: a classified raster map highlighting banana monocultures, classified vector polygons, and a table detailing the accuracy evaluation metrics. The results achieved an overall accuracy exceeding 93% across both evaluation periods. This approach proves to be an effective tool for monitoring banana production areas and significantly contributes to regional land use mapping efforts. |
| Observaçao: | ISBN: 978-85-86481-94-9. Acessível em: https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1185889/1/Anais-Workshop-Cientifico-Semear-Digital-2025.pdf (ID_PAT: 37996) |
|
|
|
| Plano de Ação: | 20.23.00.025.00.03 |
| Descrição: | FURUYA, D. E. G.; BOLFE, E. L.; PARREIRAS, T. C.; SILVEIRA, F. da; SILVA, G. B. S. da; GEBLER, L. Field data collection and visual interpretation of agricultural crops in Vacaria, Brazil. In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 67-74. |
| Parceria/partes: | Embrapa Agricultura Digital (CNPTIA), Embrapa Uva e Vinho (CNPUV), UNICAMP - Universidade Estadual de Campinas, |
| Conteúdo: | Vacaria, located in southern Brazil, is a prominent fruit-producing region, particularly renowned for its apple cultivation. Monitoring land use and cover is essential for supporting sustainable agricultural management and facilitating informed decision-making processes. In this context, field data collection plays a fundamental role in validating remote sensing analyses and enhancing the accuracy of agricultural land use mapping. To support this effort, a comprehensive field survey was conducted across Vacaria in March 2025, utilizing Embrapa’s AgroTag application. A total of 647 georeferenced points were collected, providing detailed information on current land use throughout the community. These data include observations of apple orchards, soybeans, maize, strawberry fields, pastures, and other crop types. The collected data supported the development of a visual interpretation key based on PlanetScope false-color imagery, enabling the identification of agricultural classes through image characteristics such as tone, texture, and pattern. This study presents the dataset and the visual interpretation key, underscoring their value as a reference for future remote sensing studies focused on mapping apple orchards, land cover variability, and the use of plasticulture. |
| Observaçao: | ISBN: 978-85-86481-94-9. Acessível em: https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1185889/1/Anais-Workshop-Cientifico-Semear-Digital-2025.pdf Na publicação: Gustavo Bayma. (ID_PAT: 37997) |
|
|
|
| Plano de Ação: | 20.23.00.025.00.03 |
| Descrição: | NOGUEIRA, S. F.; SANTOS, T. T.; SILVA, G. B. S. da; SANTOS, P. M.; SANO, E. E.; BOLFE, E. L. Temporal optimization of UAV-based pasture monitoring using multi-year NDVI and precipitation data in Lagoinha/SP, Brazil. In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 360-366. |
| Parceria/partes: | Embrapa Agricultura Digital (CNPTIA), Embrapa Cerrados (CPAC), Embrapa Pecuária Sudeste (CPPSE), |
| Conteúdo: | Abstract: This study identifies the optimal period for using unmanned aerial vehicle (UAV) imagery to assess pasture conditions in the municipality of Lagoinha, São Paulo State, Brazil. It combines long-term precipitation data (1948‒2024) and NDVI time series derived from Sentinel-2 satellite (2017‒2024) for 15 partner properties of the Science Center for the Development of Digital Agriculture - Semear Digital. The results show that the transition from rainy to dry season, especially in May and June, provides the best pasture contrast conditions for UAV monitoring. During this time, intermediate NDVI values (0.45‒0.55) enhance the differences between well-managed and degraded pastures, while lower precipitation and cloud cover conditions improve the radiometric quality of images. Farms with higher technology adoption show more stable NDVI profiles, facilitating the vegetation condition detection. This study provides a framework for planning UAV-based pastureland assessments to support better pastureland monitoring and management decisions. |
| Observaçao: | ISBN: 978-85-86481-94-9. Acessível em: https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1185889/1/Anais-Workshop-Cientifico-Semear-Digital-2025.pdf (ID_PAT: 37999) |