Author
Kanjana Devi, P.
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…
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…
Fruit Disease Identification Using Feature Extraction and Data Mining
Rathamani, M.; Kanjana Devi, P.
Agriculture is one of the fields which produce data continually ensuring each of the four characteristics with fantastic development. There are various difficulties in preparing farming records which manages assortment of organized and unstructured…
Fruit Grade Classification Using Improved Convolutional Neural Network
Rathamani, M.; Kanjana Devi, P.
Machine learning is the recent research topic which attracts the attention of researchers worldwide. Automation of fruit grading and fruit detection system lays a vital role in field of agriculture and also in the…
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…
Image Segmentation K-Means Clustering Algorithm for Fruit Disease Detection Image Processing
Rathamani, M.; Kanjana Devi, P.
Fruit diseases are always considered as a remarkable issue in the cultivating business carried out across the globe. This arises the need for manual checking framework. In this way, agriculturists require the manual analysis…
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…
Prediction and Classification of Textural Properties on Fruits During Ripening Using Convolutional Neural Network
Rathamani, M.; Kanjana Devi, P.
Non-destructive quality detection and automatic grading are significant in fruit industry. The customary way separates fruits into four level ripening stages dependent on color. The assurance of the ripeness condition of fruits is a…
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…
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