Unmanned aerial vehicles (UAV), often unmanned aerial systems, are increasingly used in
many industries, such as agriculture, forestry, the military, and disaster management. This is …

With the rapid advancements in computer vision, using deep learning for strawberry disease
recognition has emerged as a new trend. However, traditional identification methods heavily …

Effective disease management in tree fruit cultivation is essential for ensuring crop health,
improving yield, and minimizing economic losses. In recent years, the adoption of advanced …

Early fire detection is critical to protecting forests from wildfires and enabling rapid
responses to minimize fire spread. Existing forest fire detection methods cannot quickly …

Olive tree orchards are suffering from wildfires in many Mediterranean countries. Following a
wildfire event, identifying damaged olive trees is crucial for develo** effective …

The global attention to the utilization of unmanned aerial vehicle remote sensing drones in
crop disease-wide detection has led to the urgent need to find an adapted model for different …

China's wind power generation is rich in resources and mature technology, but has the
problems of harsh power generation environment, high operation and maintenance costs …

Anthracnose is a serious fungal disease of dogwoods that reduces the aesthetic value of
trees and causes crop loss in severe conditions. Chemical treatments and pruning are …

Fire blight is an infectious disease found in apple and pear orchards. While managing the
disease is critical to maintaining orchard health, identifying symptoms early is a challenging …

This chapter explores the emerging field of computer vision (CV) and robotics for disease
control in the context of modern agriculture. It provides an overview of the role of agricultural …