Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

The current mainstream approach of using manual measurements and visual inspections for
crop lodging detection is inefficient, time-consuming, and subjective. An innovative method …

Remote sensing image is becoming an increasingly popular tool for crop lodging detection
because it conveniently provides features for building machine learning models and …

Rice lodging not only causes difficulty in harvest operations, but also drastically reduces
yield. Therefore, it is very important to identify rice lodging efficiently. For unmanned aerial …

Unmanned aerial vehicles (UAVs) open new opportunities in precision agriculture and
phenotyping because of their flexibility and low cost. In this study, the potential of UAV …

It is imperative to rapidly and precisely acquire crop lodging area and severity for disaster
prevention and yield prediction. However, estimation of crop lodging area at a large scale …

Crop lodging in agricultural fields is one of the major factors that limit cereal crop yields.
Wheat, the most popular cereal crop in most countries, is also affected by this phenomenon …

The extraction of wheat lodging is of great significance to post-disaster agricultural
production management, disaster assessment and insurance subsidies. At present, the …

Lodging, the permanent bending over of food crops, leads to poor plant growth and
development. Consequently, lodging results in reduced crop quality, lowers crop yield, and …

The timely and accurate detection of wheat lodging at a large scale is necessary for loss
assessments in agricultural insurance claims. Most existing deep-learning-based methods …