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.…
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…
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…
Survey on Fruit Disease Identification in Agriculture Using Data Mining
Rathamani, M.; Kanjana Devi, P.
The field of agriculture needs to manage a lot of data and processing and recovery of significant data from this abundance of agricultural information is necessary to support the farmers. In this way, proper strategies and techniques are required for…
A Survey on Datamining in Agriculture
Agriculture assumes an essential part in the life of an economy. It is the backbone for creating nations like India as over 70% of populace relies upon agriculture. To expand crop production numerous components are mindful like soil, climate, downpour,…
Analysis and Survey on Fruit Disease Identification in Agriculture Using Data Mining
Rathamani, M.; Kanjana Devi, P.
Diseases in fruit cause wrecking issue in economic misfortunes and production in agricultural industry around the world. Disease management by physically is a challenging task. A large portion of the diseases are seen on the leaves or stems of the plant.…
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…
Hybrid Artificial Neural Network and Case Based Reasoning (Hanncbr) Classification Model for Classification of Agriculture Data in Different Area
Lately the erratic weather conditions changes have prompted different polemics. The utilization of cropping designs that have been done from generation to generation regardless of environmental change and the environment is the reason. The advances in…
Educational Data Mining
Data mining methods and techniques are applied to educationally related data as part of the burgeoning field known as educational data mining (EDM). Education data mining is the name of an emerging multidisciplinary research field that applies data mining…
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