Deep learning for plant identification and disease classification from leaf images: multi-prediction approaches
Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …
Machine learning for leaf disease classification: data, techniques and applications
The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …
technologies to help agriculture production. Especially, the emergence of machine learning …
Tomato spotted wilt disease severity levels detection: a deep learning methodology
V Salonki, A Baliyan, V Kukreja… - 2021 8th International …, 2021 - ieeexplore.ieee.org
The wide variety of diseases in the tomato plant affects the quality and quantity of the
production. To counteract the problem of disease in tomato plants deep learning (DL) based …
production. To counteract the problem of disease in tomato plants deep learning (DL) based …
Automated detection of selected tea leaf diseases in Bangladesh with convolutional neural network
Globally, tea production and its quality fundamentally depend on tea leaves, which are
susceptible to invasion by pathogenic organisms. Precise and early-stage identification of …
susceptible to invasion by pathogenic organisms. Precise and early-stage identification of …
Tomato Plant Leaves Disease Detection using Machine Learning
R Mohanty, P Wankhede, D Singh… - … Conference on Applied …, 2022 - ieeexplore.ieee.org
Plants are the primary source of food for the whole population. The disease in plants leads
to low crop production and reduces food quality. Early detection of the plant disease can …
to low crop production and reduces food quality. Early detection of the plant disease can …
A New Approach for Leaf Disease Detection using Multilayered Convolutional Neural Network
Leaf diseases reduce agricultural yield by 35% annually in India, where agriculture is the
main sector. Manual detection of the type of disease present in leaves takes a long time …
main sector. Manual detection of the type of disease present in leaves takes a long time …
Automatic detection of tomato leaf disease using an adopted deep learning algorithm
X Guo - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
The detection of tomato leaf diseases is crucial for agricultural sustainability, impacting crop
health, yield optimization, and global food supply. Despite the advancements in deep …
health, yield optimization, and global food supply. Despite the advancements in deep …
Defect Detection and Classification of Soybean Using Convolutional Neural Network
FCA Bascara, AN Yumang - 2024 7th International Conference …, 2024 - ieeexplore.ieee.org
One of the aims of this paper is to construct an operational prototype that conducts an image-
processing system that utilizes the defect detection and classification of soybeans by using a …
processing system that utilizes the defect detection and classification of soybeans by using a …
Disease Detection for Cotton Crop Through Convolutional Neural Network
MP Singh, VP Singh, N Hasteer, Yogesh - Proceedings of International …, 2023 - Springer
Agriculture is the backbone of the Indian economy as major part of the financial system is
dependent on it. India is an agricultural economy where more than 55% of population is …
dependent on it. India is an agricultural economy where more than 55% of population is …
Leaf Condition Analysis Using Convolutional Neural Network and Vision Transformer
Plants play an essential role to human survival, from being the primary source of oxygen
emissions to being a vital supply of dietary ingredients. It keeps the ecosystem's general …
emissions to being a vital supply of dietary ingredients. It keeps the ecosystem's general …