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Sundaram, V.
- Identifying the Rice Diseases Using Classification Techniques
Authors
1 Nehru Arts and Science College, Coimbatore, Tamil Nadu, IN
2 MCA Department, Karpagam College of Engineering, Coimbatore, Tamil Nadu, IN
Source
Data Mining and Knowledge Engineering, Vol 3, No 8 (2011), Pagination: 516-520Abstract
Rice disease identification is one of the main issue of the country. The essence of the paper is identifying the rice disease in initial stage. This paper going to be create ready reckoned of the farmers. The main advantage of the paper is easily identifying the disease and gives the better solution for the farmers. It is the process which includes defining and redefining problems, formulating hypothesis, collecting, organizing and evaluating data; making deductions and reaching conclusions and at last presenting it in a detailed, accurate manner. This paper mainly focuses on concepts of data mining such as Classification, Decision Trees, and Neural Networks. A disease is an abnormal condition that injures the plant or causes it to function improperly. Diseases are readily recognized by their symptoms-associated visible changes in the plant. The organisms that cause diseases are known as pathogens. Many species of bacteria, fungus, nematode, virus and mycoplasma-like organisms cause diseases in rice. Disorders or abnormalities may also cause by abiotic factors such as low or high temperature beyond the limits for normal growth of rice, deficiency or excess of nutrients in the soil and water, pH and other soil conditions which affect the availability and uptake of nutrients, toxic substances such as H2S produced in soil, water stress and reduced light. However, here we will cover only the common diseases of rice those cause by pathogen.Keywords
Decision Trees, Classification, Data Mining, Neural Network.
- Implementation of Information Security System with Proposed Substitution Cipher Model Using Cryptography Tools and Methods
Authors
1 GR Govindarajulu School of Applied Computer Technology, Coimbatore, TN, IN
2 Department of MCA, Karpagam College of Engineering, Affiliated to Anna University of Technology, Coimbatore, TN, IN
Source
Data Mining and Knowledge Engineering, Vol 3, No 14 (2011), Pagination: 854-857Abstract
This paper shows the possibility of exploiting the features of substitutions cipher with ASCII values of the given text and then applying conversion, transposition and shows some unreadable form. In substitution ciphers the plaintext letters are enciphered differently depending upon their placement in the text. As the name polyalphabetic suggests this is achieved by using several two, three keys and random keys combinations instead of just one, as is the case in most of the simpler crypto systems. Using two keys, we take 2 keys e1, e2 and let the ASCII values of e1 be 1 and e2 be 2 and take the text, add ASCII values of e1 to first character and ASCII values of e2 to second character. Alternatively add the value of e1 and e2 to consecutive characters. Here we introduced security layer that is user can select their security level based on their communication over Internet.Keywords
Encryption, Decryption, Genetic Keys, Mono Substitution, Poly Substitution, Ciphers.- Path Co-Efficient Analysis in Okra [Abelmoschus esculentus (L.) Moench]
Authors
1 Department of Horticulture, Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Karaikal (U.T. of Puducherry), IN
Source
The Asian Journal of Horticulture, Vol 10, No 1 (2015), Pagination: 76-79Abstract
The study on direct and indirect effects of seventeen different growth, physiological and fruit related traits on yield of okra had revealed the presence of very high direct positive effect of fruit number on yield plant-1. The traits viz., number of fruits plant-1, plant height and fruit weight were identified as the important yield determinants through path co-efficient analysis and these traits could be relied upon for selection of high yielding genotypes in okra. Leaf area index was found to be the second ranking trait with high positive direct effect followed by stem diameter. The indirect effect of fruit length as well as fruit girth on yield through fruit weight were also found to be positive, indicating their importance in exercising selection.
Keywords
Okra, Direct Effect, Indirect Effect.- Genetic Analysis in Okra [Abelmoschus esculentus (L.) Moench]
Authors
1 Department of Horticulture, Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Karaikal (U.T. of Puducherry), IN
Source
The Asian Journal of Horticulture, Vol 10, No 1 (2015), Pagination: 173-176Abstract
Study of thirty three diverse genotypes of okra revealed the presence of high variability, for primary branches at flowering, internodal length, leaf area index, mucilage content, seed number and hundred seed weight. The traits viz., days to flowering, plant height, primary branches at flowering, internodal length, relative water content, mucilage content, crude fibre content, pedicel length, fruit length, fruit girth, fruit weight, seed number and hundred seed weight were found to be highly heritable and hence, could be considered while selection. High heritability with high genetic gain observed for plant height, primary branches at flowering and internodal length indicate the predominance of additive genes, while high heritability with low genetic gain observed for days to flowering indicate the role of non-additive gene action.