In recent years, weeds have been responsible for most agricultural yield losses. To deal with
this threat, farmers resort to spraying the fields uniformly with herbicides. This method not …

Weeds are one of the main hazards affecting the yield and quality of rice. In farmland
ecosystem, weeds compete with rice for resources such as light, water, soil and space, and …

In this research, the deep-learning optimizers Adagrad, AdaDelta, Adaptive Moment
Estimation (Adam), and Stochastic Gradient Descent (SGD) were applied to the deep …

Weeds are mainly spread by weed seeds being mixed with agricultural and forestry crop
seeds, grain, animal hair, and other plant products, and disturb the growing environment of …

The power of deep learning in object detection has widely been investigated, demonstrating
promising results in recent years. In precision agricultural applications, weed detection plays …

Weeding operations represent an effective approach to increase crop yields. Reliable and
precise weed detection is a prerequisite for achieving high-precision weed monitoring and …

Precision spraying can significantly reduce herbicide input for turf weed management. A
major challenge for autonomous precision herbicide spraying is to accurately and reliably …

Precision spraying of herbicides can significantly reduce herbicide use. The detection
system is the critical component within smart sprayers that is used to detect target weeds …

Information about the presence of weeds in fields is important to decide on a weed control
strategy. This is especially crucial in precision weed management, where the position of …

Weed management is becoming increasingly important for sustainable crop production.
Weeds cause an average yield loss of 11.5% billion in Pakistan, which is more than PKR 65 …