… be used to obtain comprehensive agricultural information. After discussing the advantages
and disadvantages of various of image fusion methods in agriculture, this paper reviews the …

This paper describes a specialized database system to facilitate decisions by the farmer in
the choice of variety based on an analytical process of the way to improve crop yield and …

… This article describes a computer algorithm that uses active contours or “snakes” to classify
cucumbers by length and curvature. This algorithm demonstrates an advantage in the …

… This paper presents two computer vision approaches that have been implemented and
tested, as well as the robotic apparatus required for the complete installation. The first …

In agriculture, plant diseases are primarily responsible for the reduction in production which
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …

… Computer vision-based agricultural robotics and artificial … recognized as a key enabler for
precision agriculture. … Common to all computer vision-based precision agriculture tasks is …

For the problem of a low recognition rate and shape feature failure caused by overlapping
seedlings and weeds during the development of an intelligent lettuce weeding robot, a …

Green pepper automatic picking has been a long-standing challenge in agriculture due to the
similar color between green peppers and green leaves. To tackle this intractable problem, …

… Therefore, to help resolve the issues of the low manual picking efficiency and labor
shortage, this study proposes a computer vision system of tea bud picking and develops an …

… In Section 2 we provide a historical overview of how the computers and decision support
systems have been used in agriculture and farming. In Section 3 we describe the design, …