Insects are the largest, most diverse organism class. Their key role in many ecosystems
means that it is important they are identified correctly for effective management. However …

This paper outlines an automatic computer vision system for the identification of avena
sterilis which is a special weed seed growing in cereal crops. The final goal is to reduce the …

The increasing public concern about food security and the stricter rules applied worldwide
concerning herbicide use in the agri-food chain, reduce consumer acceptance of chemical …

Insect pests are posing a significant threat to agricultural production. They live in different
places like fruits, vegetables, flowers, and grains. It impacts plant growth and causes …

Our purpose is to develop a classification system for the automatic detection of harmful
insects in greenhouse plants. This paper deals with evaluation of three feature extraction …

The use of robots in precision farming has the potential to reduce the reliance on herbicides
and pesticides through selectively spraying individual plants or through manual weed …

Recent years have shown enthusiastic research interest in weed classification for selective
herbicide sprayer systems which are helpful in eradicating unwanted plants such as weeds …

Today there is a rapid development taking place in phenotyping of plants using non-
destructive image based machine vision techniques. Machine vision based plant …

In crop production systems, weed management is vitally important. But both manual
weeding and herbicide-based weed controlling are problematic due to concerns in cost …

Recently, in order to increase the speed detection of seeds, the methods based on computer
vision is expanded. Since, some characteristics such as colour, morphology and texture …