Kernal Based Semi-Supervised Clustering and its Application in Leave Recognition of Bauhinia Blakeana Leaves

2013 ◽  
Vol 756-759 ◽  
pp. 3849-3854
Author(s):  
Xi Yang Yang ◽  
Fu Sheng Yu
Keyword(s):  
Fuzzy Clustering ◽  
Principal Components ◽  
Leaf Spot ◽  
Clustering Algorithm ◽  
Projection Algorithm ◽  
Leaf Spot Disease ◽  
Clustering Method ◽  
Supervised Clustering ◽  
Spot Disease ◽  
Fuzzy Clustering Algorithm

A novel kernel based semi-supervised fuzzy clustering algorithm is proposed, and its iterative formula is given. This new algorithm can effectively improve the efficiency of the clustering algorithm. Combined with Fisher projection algorithm, two principal components are extracted from 7 hue statistics and 11 green value statistics, this new semi-supervised clustering method is applied to recognize the angular leaf spot disease of Bauhinia blakeana. The results showed that the consistent rate is 100% for the labeled leaves, and above 95% for other unlabeled leaves.

scholarly journals Automatic Early Leaf Spot Disease Segmentation on Cotton Plant Leaf

2020 ◽  
Vol 9 (2) ◽  
pp. 1161-1164
Keyword(s):  
Cotton Plant ◽  
Leaf Spot ◽  
Clustering Algorithm ◽  
Digital Camera ◽  
Leaf Spot Disease ◽  
Infected Leaf ◽  
Cercospora Leaf Spot ◽  
Accurate Identification ◽  
Spot Disease ◽  
Color Conversion

Diseases are decreasing production of plants. At present, farmers are identifying, diagnosing diseases and monitoring health in plants by their own knowledge and experience. Naked eye observation by farmers and experts on big plantation areas cannot be possible each time and it can be expensive. Accurate identification of visually observed diseases, symptoms and controls has not studied yet. Therefore a fast automatic, economical and accurate system is an essential research topic that may improve in leaf disease detection of plant disease. The proposed automatic early leaf spot disease segmentation on leaf of cotton plant system is based on image processing and machine learning where segmenting the three major diseases such as Bacterial Blight, Alternaria leaf spot and Cercospora leaf spot. Initially, the infected leaf images are captured from cotton plant fields by using a digital camera. Scaling, background removing and color conversion are done in the preprocessing phase. After preprocessing, the infected region is obtained by using K-means clustering algorithm. The infected region can be applied for detecting the diseases on cotton plant.

Fuzzy Clustering Method for Spherical Data Based on q-Divergence

2019 ◽  
Vol 23 (3) ◽  
pp. 561-570 ◽  
Author(s):  
Masayuki Higashi ◽  
◽  
Tadafumi Kondo ◽  
Yuchi Kanzawa
Keyword(s):  
Conventional Method ◽  
Fuzzy Clustering ◽  
Optimization Problem ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Kl Divergence ◽  
Spherical Data ◽  
Fuzzy Clustering Algorithm ◽  
Fuzzy Clustering Method ◽  
Vectorial Data

This study presents a fuzzy clustering algorithm for classifying spherical data based on q-divergence. First, it is shown that a conventional method for vectorial data is equivalent to the regularization of another conventional method using q-divergence. Next, based on the knowledge that q-divergence is a generalization of Kullback-Leibler (KL)-divergence and that there is a conventional fuzzy clustering method for classifying spherical data based on KL-divergence, a fuzzy clustering algorithm for spherical data is derived based on q-divergence. This algorithm uses an optimization problem built by extending KL-divergence in the conventional method to q-divergence. Finally, some numerical experiments are conducted to verify the proposed methods.

TWO NEW SEVERE LEAF SPOT DISEASE ON FOREST TREES OF JALGAON (MAHARASTRA) INDIA

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
S. A. FIRDOUSI
Keyword(s):  
Leaf Spot ◽  
Fungal Disease ◽  
Leaf Spot Disease ◽  
Forest Trees ◽  
First Report ◽  
Spot Disease ◽  
Severe Leaf

During the survey of the forest fungal disease, of Jalgaon district, two severe leaf spot diseases on Lannae coromandelica and ( Ougenia dalbergioides (Papilionaceae) were observed in Jalgaon, forest during July to September 2016-17. The casual organism was identified as Stigmina lanneae and Phomopsis sp. respectively1-4,7. These are first report from Jalgaon and Maharashtra state.

Rapid Inoculation Technique and Biological Control of Leaf Spot Disease in Oil Palm

2019 ◽  
Vol 2 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Delia Agustina ◽  
◽  
Cahya Prihatna ◽  
Antonius Suwanto ◽  
◽  
...  
Keyword(s):  
Biological Control ◽  
Oil Palm ◽  
Leaf Spot ◽  
Leaf Spot Disease ◽  
Inoculation Technique ◽  
Spot Disease
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