The environment in which postharvest crops are processed and stored is a dynamic
ecosystem influenced not only by environmental factors such as temperature and humidity …

Simple Summary Mathematical models are developed to predict key aspects of insects
harmful to many crops, including grapevine. Practical applications of these models include …

The olive fruit fly Bactrocera oleae is one of the key insect pests infesting olive orchards in
Mediterranean areas. Its coevolution with the olive tree, Olea europaea, made this pest …

Life tables are one of the most common tools to describe the biology of insect species and
their response to environmental conditions. Although the benefits of life tables are beyond …

Machine Learning (ML) techniques can be used to convert Big Data into valuable
information for agri-environmental applications, such as predictive pest modeling. Lobesia …

Physiologically-based models are the core of Decision Support Systems (DSS) for insect
pest and disease control in cultivated fields. However, the large-scale use of DSS remains …

The mathematical description of the dynamics of ectotherm populations has a crucial role in
understanding and forecasting insect pests outbreaks, as well as to support the formulation …

Modeling processes span multiple disciplines and aim to generate new knowledge about a
given process or system for subsequent analysis or control. Mathematical models are …

This paper introduces a novel general model based on Ordinary Differential Equations
(ODEs) which is able to describe the population dynamics of a large class of insect pests …

Simple Summary Drosophila suzukii is an injurious insect pest infesting soft fruit cultivations
worldwide. In the recent years, it has spread in new territories, favored by its capability of …