Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fusing Color and Texture Cues to Categorize the Fruit Diseases from
  Images   The economic and production losses in agricultural industry worldwide are due
to the presence of diseases in the several kinds of fruits. In this paper, a
method for the classification of fruit diseases is proposed and experimentally
validated. The image processing based proposed approach is composed of the
following main steps; in the first step K-Means clustering technique is used
for the defect segmentation, in the second step color and textural cues are
extracted and fused from the segmented image, and finally images are classified
into one of the classes by using a Multi-class Support Vector Machine. We have
considered diseases of apple as a test case and evaluated our approach for
three types of apple diseases namely apple scab, apple blotch and apple rot and
normal apples without diseases. Our experimentation points out that the
proposed fusion scheme can significantly support accurate detection and
automatic classification of fruit diseases.

17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph