Computer vision techniques for fruit detection and tracking are crucial for agricultural automation, yet most current datasets lack temporally consistent annotations needed for reliable tracking. Here we present Semear MAppleT FW, a dataset for apple detection and tracking in modern fruiting ...

The municipality of Breves, located in the Marajó Archipelago - Pará State, is a strategic area for açaí production in the Brazilian Amazon. However, the characterization of its productive environments using remote sensing still represents a significant methodological challenge, due to the&#...

Open innovation emerges when knowledge, experience, and capabilities are distributed across various organizations, enabling innovative activities inside and outside research institutions within a collaborative system. In the agricultural sector, this phenomenon is manifested through innovation ecosystems that i...

Precision agriculture optimizes agricultural practices by applying inputs at the right time and place, enhancing productivity and sustainability. This study compared the costs, time requirements, and water efficiency of using an unmanned aerial vehicle (UAV) versus the traditional manual backpack ...

This study explores the potential of Harmonized Landsat Sentinel-2 (HLS) data for detailed agricultural mapping in diversified farming regions of São Paulo, Brazil. Focusing on Casa Branca and Caconde, the research integrates multitemporal HLS imagery (2021–2024) to perform crop classifications a...

New regulations, such as the EU Deforestation-Free Regulation (EUDR), make verifiable agricultural data (AgData) essential for global trade. However, its value is compromised by a widespread “AgData Paradox”, characterized by distrust and fragmentation. To address this problem, we present AgriTrust,&#...

Accurate and spatially resolved yield estimation is a critical requirement for precision agriculture and orchard management. This paper presents a geometrically consistent, orchard-scale apple yield estimation framework that integrates GNSS–visual-inertial odometry (VIO) fusion, deep learning-based object detection,...

Precision agriculture applications at the plant level require high-resolution, detailed imaging that cannot be adequately provided by satellite-based remote sensing due to insufficient resolution and suboptimal viewing angles. While Unmanned Aerial Vehicles (UAVs) offer improved capabilities, their downward-fac...

Humanity faces major global transformations as we enter the Anthropocene, marked by human-induced changes to Earth. New approaches are needed to address these issues, with sustainability gaining prominence. The Blue Economy offers solutions by providing food while reducing carbon emissions, pollu...