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 …
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 …
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 …
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 …
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 …
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 …
Unmanned Aerial Vehicle (UAV)-based remote sensing for early-stage detection of Ganoderma
Early detection of Basal Stem Rot (BSR) disease in oil palms is an important plantation
management activity in Southeast Asia. Practical approaches for the best strategic approach …
management activity in Southeast Asia. Practical approaches for the best strategic approach …
Early detection of Ganoderma basal stem rot of oil palms using artificial neural network spectral analysis
Ganoderma boninense is a causal agent of basal stem rot (BSR) and is responsible for a
significant portion of oil palm (Elaeis guineensis) losses, which can reach US $500 million a …
significant portion of oil palm (Elaeis guineensis) losses, which can reach US $500 million a …