Deep learning for plant disease detection

MM Khalid, O Karan - International Journal of Mathematics, Statistics, and …, 2024 - ijmscs.org
Agriculture, an essential bedrock of human survival, continually grapples with the menace of
plant diseases, culminating in substantial yield reductions. While conventional detection …

Computer vision framework for wheat disease identification and classification using Jetson GPU infrastructure

T Aboneh, A Rorissa, R Srinivasagan, A Gemechu - Technologies, 2021 - mdpi.com
Diseases have adverse effects on crop production and yield loss. Various diseases such as
leaf rust, stem rust, and strip rust can affect yield quality and quantity for a studied area. In …

Machine Learning & Internet of Things in Plant Disease Detection: A comprehensive Review

S Pareek, A Kumar… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Agriculture is crucial to the growth of every country's economy. Due to population growth,
unpredictable weather, and a lack of available resources, meeting the world's food needs …

Effect of frost on plants, leaves, and forecast of frost events using convolutional neural networks

S Wassan, C Xi, NZ Jhanjhi… - International Journal of …, 2021 - journals.sagepub.com
Climate change brings many changes in a physical environment like plants and leaves. The
flowers and plants get affected by natural climate and local weather extremes. However, the …

Integration of dilated convolution with residual dense block network and multi‐level feature detection network for cassava plant leaf disease identification

D C. R, N Kandasamy… - … and Computation: Practice …, 2022 - Wiley Online Library
In recent years, many countries prolonged their research in the field of agricultural farming
for yielding more quantity food products with good quality. Agricultural farming is closely …

A Review on Various Plant Disease Detection Using Image Processing

D Tandekar, S Dongre - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
More than 50% of Indians are employed in agriculture. And any disruption in this sector
affects a large part of the population. Some of these disturbances are climate change …

CNN-based plant disease recognition using colour space models

S Nain, N Mittal, M Hanmandlu - … Journal of Image and Data Fusion, 2024 - Taylor & Francis
The growing population increases the demand for agricultural production. Owing to some
plant diseases, this production is continuously decreasing. Detecting and recognising these …

ConvPlant-Net: A Convolutional Neural Network based Architecture for Leaf Disease Detection in Smart Agriculture

SD Deb, RK Jha, S Kumar - 2023 National Conference on …, 2023 - ieeexplore.ieee.org
Convolutional Neural Networks have demonstrated state-of-the-art performance in various
image classification and computer vision-related tasks. Plant disease detection is one of the …

[PDF][PDF] A brief study on rice diseases recognition and image classification: fusion deep belief network and S-particle swarm optimization algorithm

M Jayaram, G Kalpana, SR Borra… - Int. J. Electr. Comput …, 2023 - academia.edu
In the regions of southern Andhra Pradesh, rice brown spot, rice blast, and rice sheath blight
have emerged as the most prevalent diseases. The goal of this research is to increase the …

Image classification and recognition of rice diseases: a hybrid DBN and particle swarm optimization algorithm

Y Lu, J Du, P Liu, Y Zhang, Z Hao - Frontiers in Bioengineering and …, 2022 - frontiersin.org
Rice blast, rice sheath blight, and rice brown spot have become the most popular diseases
in the cold areas of northern China. In order to further improve the accuracy and efficiency of …