Global crop productivity is reduced by 20–40% annually due to agricultural pests. Mass
trap** with insect sex-pheromones have been the major option for the pest control …

Fast and reliable identification of insect species is crucial for pest management, animal
quarantine, and effective utilization of insect resources. Traditional morphological …

BACKGROUND The use of computer vision and deep learning models to automatically
classify insect species on sticky traps has proven to be a cost‐and time‐efficient approach to …

In agricultural pest management, the traditional insect population tracking in the case of
several insect types is based on outsourced sticky paper traps that are checked periodically …

In recent years, the achievements of machine learning (ML) have affected all areas of
industry and it plays an increasingly important role in agriculture as well. However, for …

Highlights An AI-enabled web application was developed to classify insects on sticky traps.
The AI models were trained on images exposed to real environmental conditions …

Tomato farming is critical to meeting the growing demand for high-quality tomato products.
With a growing population and shifting dietary tastes, there is an increased demand for …

This examination researches the streamlining of vermin discovery and the executives in
accuracy horticulture through the utilization of profound learning draws near. Utilizing a …

Pest detection has become increasingly critical. As the global population grows and the
demand for food rises, farming efficiency is a top priority for researchers in the field. Pests …

O avanço científico e tecnológico é um dos principais motores do desenvolvimento
contemporâneo, impulsionando inovações que transformam tanto as indústrias quanto as …