A key goal of contemporary agriculture is to dramatically increase production of food, feed,
fiber, and biofuel products in a sustainable fashion, facing the pressure of diminishing farm …

This paper proposes a new method, oriented to crop row detection in images from maize
fields with high weed pressure. The vision system is designed to be installed onboard a …

In agriculture, reducing herbicide use is a challenge to reduce health and environmental
risks while maintaining production yield and quality. Site-specific weed management is a …

This paper presents a general method for weed infestation rate estimation for perspective
wide-view images dedicated to real-time precision spraying. A colour camera was …

One way of guiding autonomous vehicles through the field is using a vision based row
detection system. A new approach for row recognition is presented which is based on grey …

This paper proposes an automatic expert system for accuracy crop row detection in maize
fields based on images acquired from a vision system. Different applications in maize …

This paper presents a new automatic and robust crop rows detection algorithm for a vision-
based agricultural machinery guidance system. The algorithm consists of five steps: gray …

An image processing algorithm for detecting individual weeds was developed and
evaluated. Weed detection processes included were normalized excessive green …

A software application for automatic descriptive feature extraction from image-objects,
FETEX 2.0, is presented and described in this paper. The input data include a multispectral …

A simple and effective wheat rows detection method is presented in this paper. It includes
five steps: image segmentation, feature points extraction, candidate wheat rows estimation …