One of the main challenges for the implementation of artificial intelligence (AI) in agriculture
includes the low replicability and the corresponding difficulty in systematic data gathering, as …

Olives are one of the most economically relevant crops in the Mediterranean area but this
region is experiencing a strong warming due to climate change. Therefore, it would be of …

Knowledge of phenological events and their variability can help to determine final yield, plan
management approach, tackle climate change, and model crop development. THe timing of …

Climate change alters the phenology of various plants. For example, increasing
temperatures shift the first flowering and full blossom days of Yoshino cherry trees and affect …

Accurate knowledge of peach flowering phenology is essential for scheduling precise
irrigation and managing artificial pollination for breeding. However, in situ monitoring of …

Machine-learning algorithms used for modelling olive-tree phenology generally and largely
rely on temperature data. In this study, we developed a prediction model on the basis of …

The calibration of a reliable phenological model for olive grown in areas characterized by
great environmental heterogeneity, like Italy, where many varieties exist, is challenging and …

Modeling phenological phases in a Mediterranean environment often implies tangible
challenges to reconstructing regional trends over heterogenous areas using limited and …

Plant phenology is the study of cyclical events in a plant life cycle such as leaf bud burst,
flowering, and fruiting. In this article the problem of olive phenology prediction is addressed …

Olive cultivation, as a vital industry, faces various challenges, notably yield prediction. The
flowering phase of the olive tree (Olea europaea) represents a crucial stage in its life cycle …