Mobile phones images of Fuji and Gala apples are being used to evaluate the performance of neural networks for fruit detection, which can serve as the basis for developing future mobile applications not only for fruit detection but also for the assessment of different characte...

Despite the advances, accurately identifying recently renovated and skeletonized coffee areas remains a challenge, as their altered canopy structure and reduced vigor produce spectral signatures similar to those of fallow or non-coffee areas. To address these limitations, upcoming research will f...

Research on orbital remote sensing and artificial neural networks (ANN) for estimating coffee productivity has advanced in Brazil, but applications remain scarce in states such as Bahia. This study aimed to develop and validate a model to estimate Arabica coffee (Coffea arabica L.) ...

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...

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...

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...

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&#...

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...

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,&#...