A Review on Datamining in Agriculture
In this paper the makers present irrefutably the most used data mining strategies in the field of agriculture. A bit of these strategies, for example, the k-means, the k nearest neighbor, artificial neural networks and support vector machines, are talked…
Enhanced Back Propagation Neural Network for Fruit Disease Prediction and Classification
Rathamani, M.; Kanjana Devi, P.
Data mining assumes an essential part in the dynamic cycle in numerous application territories. Information mining is essential for data handling and the executives. Plant sicknesses bargain efficiency which impacts public activity and economy of the country.…
Hybrid Artificial Neural Network and Case Based Reasoning (Hanncbr) Classification Model for Classification of Agriculture Data in Different Area
…The advances in computing and information storage have given tremendous measures of data. The test has been to remove knowledge from this raw data that has lead to new strategies and techniques, for example, data mining that can connect the knowledge gap.…
A Smart Agricultural Model by Integrating IoT, Mobile and Cloud Based Big Data Analytics
Rathamani, M.; Lakshmanaprakash, S.
Currently, the standard database paradigm would not have ample storehouse for the facts produced by means of Internet of Effects(IoT) bias leads to the want of pall storehouse. These data’s are anatomized with the assist of BigData mining ways. Pall grounded…
Implementation of Different Approaches Using Enhanced Algorithms for Fruit Disease Identification
Rathamani, M.; Kanjana Devi, P.
…makes it hard to adjust the current industrial algorithms to the agricultural space.Data Mining procedures in horticulture field diverse data mining procedures are in use, for example, K-Means, K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN) and…
A Survey on Datamining in Agriculture
…can hurt the vegetation and diminish the yield. This paper gives audit of different data mining procedures utilized on agriculture soil dataset for compost suggestion. Basically I zeroed in on different soil boundaries like Fe, S, Zn, Cu, N and Ph esteem…
Data Preprocessing Using Enhanced Principal Component Analysis (EPCA) for Agricultural Datasets
Data pre-processing is considered as the core stage in core and data mining. Standardization, discretization, and dimensionality decrease are notable strategies in data pre-processing. In this paper proposed Enhanced Principal component Analysis (EPCA) the…
Analysis of Heart Diseases Dataset Using Neural Network Approach
One of the important techniques of Data mining is Classification. Many real-world problems in various fields such as business, science, industry and medicine can be solved by using classification approach. Neural Networks have emerged as an important tool for…
Fruit Grade Classification Using Improved Convolutional Neural Network
Rathamani, M.; Kanjana Devi, P.
…end too. This can be achieved by implementing the image processing techniques and data mining techniques. The image datasets are collected from various online resources. The datasets are collected and examined based on the size, shape, texture and color…
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