https://www.alice.cnptia.embrapa.br/alice/handle/item/19 Embrapa Agricultura Digital (CNPTIA) 2026-05-18T01:33:38Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186882 Título: Challenges in the regulation of payments for environmental services: lessons from São Paulo State, Brazil. Autoria: COFFERRI, H. A.; SILVA, R. F. B. da; BATISTELLA, M.; MONTEIRO, M. S. A. Conteúdo: Brazil has a deficit of 27 Mha of native vegetation in rural properties and the ambition to restore 12 Mha by 2030 (Nationally Determined Contributions—Paris Agreement), while the state of São Paulo has committed to reforesting 1.5 Mha by 2025. The regulation of payment for environmental services (PES) is a new topic in the Brazilian legal system that also aims to contribute to this commitment. In 2021, a federal law established the national PES policy. For São Paulo state, the current regulation is a decree from 2022. This study analyzes whether the regulation of PES made by São Paulo state conveys all the actions provided for in the federal law, as well as whether there is effective public governance in this state’s regulation. This analysis is essential, since São Paulo regulated this through a decree and not specifically through legislation, which, in theory, reduces public participation and governance. We used an exploratory and deductive method to evaluate whether São Paulo’s regulation adequately reflects federal provisions and governance principles, ensuring the planning and implementation of PES. 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186853 Título: Mapping anti-hail net systems in apple orchards using multisensor time series and machine learning. Autoria: FURUYA, D. E. G.; BOLFE, E. L.; PARREIRAS, T. C.; SOARES, V. B.; SILVEIRA, F. da; BARBEDO, J. G. A.; SANTOS, T. T.; GEBLER, L. Conteúdo: Apple orchards are increasingly adopting anti-hail nets to mitigate climate risks; however, these structures alter canopy reflectance and pose challenges for remote sensing. This study presents an operational framework to map apple orchards under different netting conditions in Vacaria, Brazil. Multisensor surface reflectance data from Sentinel-2 and Harmonized Landsat and Sentinel-2 were used to generate dense spectral index time series combined with field observations. Five spectral indices, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil-Adjusted Vegetation Index (SAVI), Normalized Difference Water Index (NDWI), and Bare Soil Index (BSI), were evaluated individually and in combination within a hierarchical classification framework. Random Forest (RF) and one-dimensional convolutional neural networks (1DCNN) were applied as complementary machine learning approaches. RF showed more stable performance across hierarchical levels, while indices contributed differently depending on scale: BSI and NDVI were more effective at broader levels, whereas EVI and SAVI were critical for discriminating net colors. To our knowledge, this is the first study applying multisensor time series and machine learning to map anti-hail net systems in apple orchards. 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186424 Título: Disponibilidade hídrica em solos com condições climáticas contrastantes cultivados com Eucalyptus sp. Autoria: BASÍLIO, J. J. N.; COLMANETTI, M. A. A.; CUADRA, S. V.; CUNHA, F. L.; GONÇALVES, A. F. A.; CAMPOE, O. C. Conteúdo: RESUMO: O monitoramento do teor de água do solo pode ser realizado de forma direta por meio de sensores, principalmente sondas de capacitância FDR e TDR e de forma indireta a partir da parametrização de modelos baseados em processos. Diante do exposto, este trabalho teve como objetivo simular a disponibilidade de água em solos com condições climáticas contrastantes cultivados com Eucalyptus sp. O modelo G’Day para a cultura do Eucalyptus sp se encontra implementado junto à plataforma ECOSMOS. O fluxo de água é calculado em escala horária em função do número de camadas do solo e de suas propriedades hidráulicas. A parametrização e avaliação dos parâmetros do modelo ECOSMOS foi realizada a partir de três experimentos micrometeorológicos e quatros sites situados em condições climáticas contrastantes considerando um genótipo genérico de Eucalyptus. O teor de água simulado pelo modelo é próximo ao observado em campo pelas sondas TDR, demonstrando assim a eficiência dos processos hidrológicos dentro do framework ECOSMOS. Além de ser variável entre os sítios, a disponibilidade de água medida pelas sondas TDR também apresentou comportamentos distintos para os quatros clones em estudo. Os resultados encontrados indicam a necessidade de calibração baseada em genótipos específicos ou até mesmo em grupos de genótipos. 2023-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186344 Título: Center for science for development of digital agriculture: Semear Digital, Brazil. Autoria: BOLFE, E. L.; ROMANI, L. A. S.; BARBEDO, J. G. A.; MASSRUHÁ, S. M. F. S. Conteúdo: Projections of world population show that there will be a greater demand for food, fiber and energy, requiring an increase in agricultural productivity, cost reduction and sustainable use of natural resources. Thus, it is essential to consider the process of digital transformation in the countryside, with the introduction of equipment and sensors to collect and generate data in amounts that easily surpass the human processing capacity. In this context, “Semear Digital” is a Brazilian research center designed to enhance agricultural productivity and sustainability through digital technologies and connectivity solutions. The center prioritizes research in inclusive digital technologies in six axis, integrating small and medium scale producers, and operates under the coordination of the Brazilian Agricultural Research Corporation (Embrapa), funded by the São Paulo Research Foundation (FAPESP), and with a collaborative consortium of Research, Development, and Innovation (RD&I) institutions. 2026-01-01T00:00:00Z