With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

This study was undertaken to develop machine vision-based weed detection technology for
outdoor natural lighting conditions. Supervised color image segmentation using a binary …

One of the most important agriculture operations is to properly manage weeds. Weed
management is a tedious task. If weeds aren't effectively controlled, it will negatively affect …

A texturebased weed classification method was developed. The method consisted of a
lowlevel Gaborwaveletsbased feature extraction algorithm and a highlevel neural …

Though some two‐dimensional (2D) machine vision–based systems for early‐growth‐stage
corn plant sensing exist, some of their shortcomings are difficult to overcome. The greatest …

The possible spread of late blight from volunteer potato plants requires the removal of these
plants from arable fields. Because of high labour, energy, and chemical demands, a method …

Incomplete control of volunteer potato plants causes a high environmental load through
increased crop protection chemical usage in potato cropping. A joint effort of industry, policy …

For effective operation of a selective sprayer with realtime local weed sensing, herbicides
must be deliveredaccurately to weed targets in the field. With a machine visionbased …

Farmer needs alternatives for weed control due to the desire to reduce chemicals used in
farming. However, conventional mechanical cultivation cannot selectively remove weeds …

Image processing algorithms for individual corn plant and plant stem center identification
were developed. These algorithms were applied to mosaicked crop row image for …