Weed spatial distribution was measured with a ground-based weed mapping system. The system consists of three different components: i) weed detection by optoelectronic sensors; ii) weed geopositioning by DGPS receiver; and iii) a data acquisition and processing system. T...

In this paper, we propose a new approach for discriminating maize and weed plants from soil surface, evaluating the accuracy and performance of a LiDAR sensor for vegetation detection using distance and reflection values. Field measurements were conducted in a maize fie...

Artificial Intelligence, specifically deep learning, is a fast-growing research field today. One of its various applications is object recognition, making use of computer vision. The combination of these two technologies leads to the purpose of this thesis. In this proj...

The accurate weed detection is the premise for precision prevention and control of weeds in fields. Machine vision offers an effective means to detect weeds accurately. For precision detection of various weeds in carrot fields, this paper improves You Only Look Once v4 ...

{"references": ["ISBN 0-7167-1031-5 Janick, Jules. Horticultural Science. San Francisco:\nW.H. Freeman, 1979. Page 308.", "B. L. Steward And L. F. Tian, \"Real-Time Weed Detection In Outdoor\nField Conditions,\" In Proc. Spie Vol. 3543, Precision Agriculture And\nBiolog...