Plant disease detection using CNN
G Shrestha, M Das, N Dey - 2020 IEEE applied signal …, 2020 - ieeexplore.ieee.org
Agricultural productivity is a key component of Indian economy. Therefore the contribution of
food crops and cash crops is highly important for both the environment and human beings …
food crops and cash crops is highly important for both the environment and human beings …
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches
As advancements in agricultural technology unfold, machine learning and deep learning
approaches are gaining interest in robust plant disease identification. Early disease …
approaches are gaining interest in robust plant disease identification. Early disease …
Mobile plant disease classifier, trained with a small number of images by the end user
Mobile applications that can be used for the training and classification of plant diseases are
described in this paper. Professional agronomists can select the species and their diseases …
described in this paper. Professional agronomists can select the species and their diseases …
Thermal and mechanical analyses of clamping area on the performance of press-pack IGBT in series-connection stack application
Press-pack insulated gate bipolar transistors (PP-IGBTs) are commonly connected in series
and stacked together with heatsinks using an exterior clamping fixture in order to achieve …
and stacked together with heatsinks using an exterior clamping fixture in order to achieve …
Advancing Pear Disease Recognition: A Hybrid CNN-Random Forest Approach
The pear is a key fruit in the horticultural sector, renowned for its adaptability and nutritional
value. In recent years, the effects of climate change have increased dramatically. It is …
value. In recent years, the effects of climate change have increased dramatically. It is …
Pre-processing Techniques and Model Aggregation for Plant Disease Prevention
Image processing techniques have become increasingly popular in plant disease
classification. However, one of the major challenges in this field is accurately identifying and …
classification. However, one of the major challenges in this field is accurately identifying and …
[PDF][PDF] Mobile Plant Disease Classifier, Trained with a Small Number of Images by the End User. Agronomy 2022, 12, 1732
Mobile applications that can be used for the training and classification of plant diseases are
described in this paper. Professional agronomists can select the species and their diseases …
described in this paper. Professional agronomists can select the species and their diseases …
Modelo para la detección de la enfermedad Xanthomonas campestris en hojas de judía aplicando algoritmos de optimización genéticos y de gradiente
CE Rocha Calderón, DD Leal Lara - 2020 - repository.udistrital.edu.co
This document presents the results of the elaboration of 8 models based on fuzzy logic
systems improved by optimization algorithms, in order to provide an alternative solution to …
systems improved by optimization algorithms, in order to provide an alternative solution to …
Performance Evaluations of Convolutional Neural Network (CNN)-Based Models for Semantic Segmentation of Plant Leaf Diseases
A Abd Almisreb, SZ Aliyev, R Hamzah… - Journal of Positive …, 2022 - journalppw.com
Plant disease identification is important to sustain food production. Automated plant disease
identification using Convolutional Neural Network has shown highly potential to provide …
identification using Convolutional Neural Network has shown highly potential to provide …
Modelo de clasificación supervisado para la detección de la Roya en hojas del cultivo de café aplicando técnicas de Machine Learning
CE Rocha Calderón - repository.udistrital.edu.co
This proposal focuses on the development of a model that allows the early detection of the
Rust disease and its different stages presented in the leaves of the coffee crop, applying …
Rust disease and its different stages presented in the leaves of the coffee crop, applying …