Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/5210
Title: | PESTICIDE RECOMMENDATION FOR DIFFERENT LEAF DISEASES AND RELATED PESTS USING MULTI-DIMENSIONAL FEATURE LEARNING DEEP CLASSIFIER (Article) |
Authors: | Saleem, Jaithoon Bibi Mohammed Shanmugam, Karpagavalli |
Keywords: | leaf diseases PDATFEGAN MFL-DCNN pesticide fuzzy rule rough set intuitionistic fuzzy approximation space recommendation system |
Issue Date: | Feb-2023 |
Publisher: | International Information and Engineering Technology Association |
Abstract: | In agricultural applications, the most essential task is to classify leaf diseases and their associated pests from various aspects. To achieve this, a Deep Convolutional Neural Network (DCNN) model was developed to classify the leaf diseases based on the soil and climatic features. But it needs a recommendation system to control the pesticide use for controlling the leaf diseases caused by specific pests. Hence, this paper hybridizes the Multi-dimensional Feature Learning-based DCNN (MFL-DCNN) with the Rough Set (RS) on an intuitionistic Fuzzy approximation space (RSF)-based decision support system to suggest the proper pesticides for a certain crop to be planted in a particular region. First, the leaf images are augmented by the Positional-aware Dual-Attention and Topology-Fusion with Evolutionary Generative Adversarial Network (PDATFEGAN) model. Then, the multi-dimensional data such as the created leaf images, pest, soil, weather, and pesticide data are fed to the DCNN with a softmax classifier for classifying leaf diseases and related pests. Then, the RSF-based decision model is applied, which determines the correlation between leaf disease and pests to recommend suitable pesticides. Finally, the experimental results reveal that the MFL-DCNN-RSF accomplishes a maximum efficiency than all other models for recommending pesticides to control leaf diseases and pests. |
URI: | https://doi.org/10.18280/isi.280113 |
ISSN: | 16331311 |
Appears in Collections: | b) 2023-Scopus Open Access (Pdf) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
PESTICIDE RECOMMENDATION FOR DIFFERENT LEAF DISEASES AND RELATED PESTS USING MULTI-DIMENSIONAL FEATURE LEARNING DEEP CLASSIFIER.pdf | 1.38 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.