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…
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…
Fruit Grade Verification Using Image Processing Techniques
Rathamani, M.; Kanjana Devi, P.
Most of the Indian population depend on agriculture. GDP contribution is high by agricultural sector when compared to the other sectors. The agricultural products serve the purpose of economic contribution. The products that are…
Implementation of Different Approaches Using Enhanced Algorithms for Fruit Disease Identification
Rathamani, M.; Kanjana Devi, P.
The utilization of computers to investigate images has numerous possible applications for mechanized agricultural tasks. However, the fluctuation of the agricultural objects makes it hard to adjust the current industrial algorithms to the agricultural…
Export this page’s citations: RIS (Zotero, Mendeley, EndNote) BibTeX