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

Tephritidae pests severely affect the quality and safety of various melons, fruits and
vegetable crops. However, many agricultural managers lack an adequate understanding of …

Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and
time and increases efficiency in agricultural management activities, which improves the food …

Monitoring and understanding pest population dynamics is essential to greenhouse
management for effectively preventing infestations and crop diseases. Image-based pest …

Insects are highly abundant and diverse, and play major roles in ecosystem functions.
Monitoring of insect populations is key to their sustainable management. However, the labor …

Aphids can cause direct damage and indirect virus transmission to crops. Timely monitoring
and control of their populations are thus critical. However, the manual counting of aphids …

Crop pests cause significant losses to agricultural production. Pests can be detected and
controlled over time using accurate and effective methods, thereby reducing potential …

Using neural networks on low-power mobile systems can aid in controlling pests while
preserving beneficial species for crops. However, low-power devices require simplified …

The escalating global demand for agricultural products, notably tomatoes, accentuates the
urgency of efficient pest management. Notable pests including Helicoverpa Armigera, Fruit …

The proposed study looks at the types of Frisée, Escarole, and Belgian Endive in India using
Convolutional Neural Networks (CNN) with team learning. A set with 9,000 big pictures was …