Recent Submissions
This study presents the carbon net primary productivity (CNPP) module, an imple-mentation of the simple generic crop model (SIMPLE model) that we have extendedto predict aboveground and belowground biomass production and carbon assim-ilation. The goal for this module is to predict biomass&#x...
A cana-de-açúcar é cultura de destaque no Brasil, pela importância socioeconômica e como fonte bioenergética, ocupando área de colheita de 8,5 milhões de hectares e produção de 655 milhões de toneladas, em 2021. O potássio se destaca dentre os nutrientes utilizados na cultura, send...
Mapping urban tree species supports green infrastructure planning. An essential issue refers to the monitoring of exotic species that may become invasive. Street-level imagery provides a complementary perspective to aerial images for species identification that are difficult to distinguish from a...
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,...
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&#...
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 ...
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 ...
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,&#...
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...
Accurate pasture mapping is essential for sustainable livestock management in Brazil, where degradation affects extensive areas. Tools like the Atlas das Pastagens provide large-scale data on pasture quality, but local-scale accuracy remains underexplored. This study assessed the accuracy of pasture&#...