Different kinds of techniques are evaluated and analyzed for various classification models
for the detection of diseases of citrus fruits. This paper aims to systematically review the …

Computer vision is a consistent and advanced technique for image processing, with the
propitious outcome, and enormous potential. A computer vision has been strongly adopted …

One of the most significant factors is the quality evaluation of agricultural products in
supporting their marketability and controlling waste management. To classify the fruits into …

Recent advancements in computer vision have enabled wide-ranging applications in every
field of life. One such application area is fresh produce classification, but the classification of …

The precision detection of dense small targets in orchards is critical for the visual perception
of agricultural picking robots. At present, the visual detection algorithms for plums still have a …

Computer vision finds wide range of applications in fruit processing industries, allowing the
tasks to be done with automation. Classification of fruit's quality and thereby gradation of the …

Though many researchers have studied plant leaf disease, the timely diagnosis of diseases
in olive leaves still presents an indisputable challenge. Infected leaves may display different …

The accuracy, speed, and robustness of object detection and recognition are directly related
to the harvesting efficiency, quality, and speed of fruit and vegetable harvesting robots. In …

Fruit ripeness is an important thing in agriculture because it determines the fruit's quality.
Determining the ripeness of the fruit that was done manually poses several weaknesses …

Due to complex environmental factors such as illumination, shading between leaves and
fruits, shading between fruits, and so on, it is a challenging task to quickly identify red …