https://www.alice.cnptia.embrapa.br/alice/handle/item/196 Artigo em periódico indexado (CNPTIA) Fri, 12 Jun 2026 23:39:30 GMT 2026-06-12T23:39:30Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187372 Título: Components and environmental factors for the diagnosis of Brazilian Ecological-Economic Zoning, scale 1:250,000. Autoria: SILVA, A. A. B. da; SILVA, J. dos S. V. da Conteúdo: The Ecological-Economic Zoning (ZEE) analyzes the landscape potentialities and vulnerabilities   using different environmental information. This study identifies and prioritizes the components and environmental factors used for the diagnosis of Brazilian ZEEs at 1:250,000 scale. The methodological guidelines of the Ministry of Environment and Climate Change (MMA) and the consolidated zoning plans for the States Acre, Mato Grosso do Sul, and Tocantins were analyzed as references, according to the following methodology: literature review; survey and comparative analysis; development, application, and analysis of a questionnaire using percentages assigned to degrees of importance (0 to 10), and qualitative analysis based on the number of respondents. A total of 27 factors grouped into five environmental components were identified. The most important environmental components (degree 10) were the physical environment and integrated studies, highlighted by 57% of respondents. The environmental factors with the highest degree of importance were: water resources (74%) and geomorphology (69%) from the physical environment; vegetation (63%) and ecosystem services (56%) from the biota; land use (74%) and traditional populations (50%) from the socio-economic; legal aspects (54%) and institutional areas (37%) from the legal-institutional; and environmental vulnerability (65%) and environmental fragility (65%) from integrated studies. Qualitatively, all components and environmental factors were classified as class 4 (extremely important), with varying percentages. The preparation of maps and reports was identified as high and extremely important information in 13 factors. It is concluded that all analyzed components and environmental factors should be considered in studies, although with varying degrees of importance. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187372 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187315 Título: Dynamics of agriculture 4.0 technology adoption in the agri-food system: insights from an exploratory study in Rio Grande do Sul—Brazil. Autoria: SILVEIRA, F. da; BHARTI, D.; KILINÇ, I.; FURUYA, D. E. G.; TETILA, E. C.; PARRA-LÓPEZ, C.; BOLFE, E. L.; SANTOS, T. T.; BARBEDO, J. G. A. Conteúdo: Despite the growing relevance of Agriculture 4.0 technologies for enhancing productivity, decision-making, and sustainability in agri-food systems, their adoption remains uneven in developing-country contexts. This study aims to analyze the perceived severity and co-occurrence structure of barriers to Agriculture 4.0 adoption in the agri-food system of Rio Grande do Sul (RS), Brazil, using an exploratory quantitative design grounded in a barrier co-occurrence perspective rather than a causal or actor-centered network interpretation. An online survey conducted in 2024 with farmers in RS evaluated 25 literature-validated barriers spanning technological, economic, political, social, and environmental dimensions. The analysis combined a Barrier Severity Index (BSI), reliability testing, Principal Component Analysis (PCA), K-means clustering, ANOVA by farm size, and proximity-based co-occurrence networks constructed from highly rated barriers. The results show that economic barriers remain the most severe overall, particularly the lack of affordable solutions, high maintenance costs, and limited infrastructure. At the same time, farm-size-stratified networks reveal distinct association structures: small farms display a more segmented pattern linking affordability and technical access to institutional and capability constraints; medium farms show the most globally integrated co-occurrence structure; and large farms exhibit a dense but more differentiated configuration combining cost, interoperability, skills, and governance-related barriers. These findings are interpreted descriptively, as the networks capture patterns of co-reporting rather than causal interdependence. The study contributes a network-analytic representation of perceived barrier configurations and highlights the need for scale-sensitive policy mixes that address bundles of constraints rather than isolated obstacles. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187315 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187276 Título: Multi-fruit tracking and 3-D structure recovery via CoTracker. Autoria: SANTOS, T. T. Conteúdo: Abstract: In agricultural robotics and orchard automation, tasks such as fruit detection, tracking, and spatiallocalization are essential for applications like yield prediction and harvesting. However, these tasks arechallenging due to the similar appearance of fruits, occlusions, and the inherent difficulties of field robotics,including uncontrolled lighting conditions and the variability in orchard environments. This work leveragesCoTracker, a transformer-based model for point tracking using cross-track/cross-time attention, to simultaneouslyperform multiple fruit tracking, 3-D fruit localization, and camera pose estimation. The proposed approachdemonstrates promising results in fruit counting, tracking, and scene reconstruction, highlighting its potential inagricultural automation. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187276 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186968 Título: Curation and standardisation of plant–pollinator interaction data under FAIR principles: experience from Pampean agroecosystems. Autoria: GONZÁLEZ-VAQUERO, R. A.; DRUCKER, D. P.; DEVOTO, M. Conteúdo: Plant–pollinator interactions are essential to the functioning of natural and agricultural ecosystems. Although the volume of available data on these interactions is steadily increasing, their utility for integrative studies is limited by heterogeneity in data formats and poor documentation. The WorldFAIR project aimed to improve data interoperability and promote the adoption of the FAIR (Findable, Accessible, Interoperable, Reusable) principles. In this study, we evaluated the effectiveness of two standardisation approaches (manual and semi-automated) applied to five datasets with varying levels of cleanliness, complexity, and structure. Our results show that for small datasets (fewer than 637 records), the manual method is more suitable, while for larger datasets, the semi-automated approach—based on tools such as OpenRefine—is more efficient after an initial learning curve. Additionally, we compiled a list of common issues encountered during the standardisation process and suggested possible solutions. This study aims to guide those interested in applying FAIR principles to ecological interaction data, supporting the planning and decision-making process when choosing the most suitable approach. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186968 2026-01-01T00:00:00Z