The implementation of new methods for reliable and fast identification and classification of
seeds is of major technical and economical importance in the agricultural industry. As in …

Precision Agriculture is a clear standout of applying the most recent advances of intelligent
systems. The motivation behind the adoption of such a systems is to reduce costs, increment …

The classification of pest species in field crops, such as corn, soybeans, wheat, and canola,
is still challenging because of the tiny appearance differences among pest species. In all …

An important objective in weed management is the discrimination between grasses
(monocots) and broad-leaved weeds (dicots), because these two weed groups can be …

Weed classification a necessity in identifying species of weeds to control management
practice in agricultural systems, which are essential for maintaining crop productivity and …

In the context of crop and weeds discrimination, different methods are used to detect and
classify plants from an acquisition system. Various estimators and descriptors are commonly …

In this paper, we introduce a novel framework which applies known image features
combined with advanced linear image representations for weed recognition. Our proposed …

Highlights•Ripe tomatoes in greenhouse detected using AdaBoost classifier and colour
analysis.•AdaBoost classifier obtained through “WeakLearn” and Haar-like feature …

Accurate crop and weed discrimination plays a critical role in addressing the challenges of
weed management in agriculture. The use of herbicides is currently the most common …

Weeds that grow among crops are undesirable plants and have adversely affected crop
growth and yield. Therefore, the study explores corn identification and positioning methods …