Agriculture Data Feature Extraction Using Sequential Pattern Mining and Random Forest (SPM-RF) Data Mining Method
Feature extraction assumes a critical part in analyzing agricultural datasets and acquiring experiences for decision-making. In this paper we propose a methodology that consolidates Sequential Pattern Mining (SPM) and Random Forest (RF) techniques for feature…
Analysis and Survey on Fruit Disease Identification in Agriculture Using Data Mining
Rathamani, M.; Kanjana Devi, P.
…will be extremely valuable for the farmers to detect the disease in beginning time. Data mining is the process of discovering and extracting of intriguing patterns and knowledge from a lot of data. There are various data mining strategies to anticipate the…
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…
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