Artificial intelligence has been incorporated into modern agriculture to increase agricultural
output and resource efficiency. Utilizing deep learning, particularly convolutional neural …

This systematic review explores the role of remote sensing technology in addressing the
requirements of sustainable olive growing, set against the backdrop of growing global food …

Computer vision techniques offer promising tools for disease detection in orchards and can
enable effective phenotyping for the selection of resistant cultivars in breeding programmes …

A significant concern is the economic impact of agricultural diseases on the world's crop
production. The disease significantly reduces agricultural production across the world. Loss …

Fuel types are essential for the control systems of briquette biofuel boilers, as the optimal
combustion condition varies with fuel type. Moreover, the use of coal in biomass boilers is …

Verticillium wilt, caused by the soil-borne fungus Verticillium dahliae Kleb., poses a
significant threat to olive (Olea europaea L.) cultivation worldwide. This review provides an …

YOLO represents the one-stage object detection also called regression-based object
detection. Object in the given input is directly classified and located instead of using the …

Olives, one of the world's oldest and most significant cultivated crops, face persistent threats
from various diseases, devastatingly affecting olive production and quality. In this era of …

With the rapid development of artificial intelligence technology, the application of unmanned
aerial vehicles (UAV) in disaster relief is becoming more widespread. This article presents a …

The integration of UAVs with advanced deep learning algorithms, particularly the You Only
Look Once models, has opened new horizons in various industries. This paper explores the …