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Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
[HTML][HTML] Current state of hyperspectral remote sensing for early plant disease detection: A review
The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …
plant protection professionals with a new mechanism for assessing the phytosanitary state of …
A review of visible and near-infrared (Vis-NIR) spectroscopy application in plant stress detection
Health monitoring in plants is vital for agricultural sustainability. Currently, the number of
techniques able to detect plant stress and disease at an early stage is limited. Prevention of …
techniques able to detect plant stress and disease at an early stage is limited. Prevention of …
[HTML][HTML] Forecasting plant and crop disease: an explorative study on current algorithms
G Fenu, FM Malloci - Big Data and Cognitive Computing, 2021 - mdpi.com
Every year, plant diseases cause a significant loss of valuable food crops around the world.
The plant and crop disease management practice implemented in order to mitigate …
The plant and crop disease management practice implemented in order to mitigate …
A review of remote sensing applications for oil palm studies
Oil palm becomes an increasingly important source of vegetable oil for its production
exceeds soybean, sunflower, and rapeseed. The growth of the oil palm industry causes …
exceeds soybean, sunflower, and rapeseed. The growth of the oil palm industry causes …
[HTML][HTML] Current strategies and perspectives in detection and control of basal stem rot of oil palm
The rapid expansion of oil palm (OP) has led to its emergence as a commodity of strategic
global importance. Palm oil is used extensively in food and as a precursor for biodiesel. The …
global importance. Palm oil is used extensively in food and as a precursor for biodiesel. The …
[HTML][HTML] Lightweight one-stage maize leaf disease detection model with knowledge distillation
Y Hu, G Liu, Z Chen, J Liu, J Guo - Agriculture, 2023 - mdpi.com
Maize is one of the world's most important crops, and maize leaf diseases can have a direct
impact on maize yields. Although deep learning-based detection methods have been …
impact on maize yields. Although deep learning-based detection methods have been …
Early symptom detection of basal stem rot disease in oil palm trees using a deep learning approach on UAV images
OW Kent, TW Chun, TL Choo, LW Kin - Computers and Electronics in …, 2023 - Elsevier
The oil palm tree (Elaeis guineensis Jacq.) is a vital and economically important plant, as the
oil from its fruit is a primary export for many Southeast Asian countries. Hence the health of …
oil from its fruit is a primary export for many Southeast Asian countries. Hence the health of …
Early detection of diseases in plant tissue using spectroscopy–applications and limitations
Plant diseases can greatly affect the total production of food and agricultural materials,
which may lead to high amount of losses in terms of quality, quantity and also in economic …
which may lead to high amount of losses in terms of quality, quantity and also in economic …
Automatic disease detection of basal stem rot using deep learning and hyperspectral imaging
Basal Stem Rot (BSR), a disease caused by Ganoderma boninense (G. boninense), has
posed a significant concern for the oil palm industry, particularly in Southeast Asia, as it has …
posed a significant concern for the oil palm industry, particularly in Southeast Asia, as it has …