Remote sensing of diseases
EC Oerke - Annual review of phytopathology, 2020 - annualreviews.org
Detection, identification, and quantification of plant diseases by sensor techniques are
expected to enable a more precise disease control, as sensors are sensitive, objective, and …
expected to enable a more precise disease control, as sensors are sensitive, objective, and …
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 …
Palm tree disease detection and classification using residual network and transfer learning of inception ResNet
M Ahmed, A Ahmed - Plos one, 2023 - journals.plos.org
Agriculture has become an essential field of study and is considered a challenge for many
researchers in computer vision specialization. The early detection and classification of plant …
researchers in computer vision specialization. The early detection and classification of plant …
Spectral features selection and classification of oil palm leaves infected by Basal stem rot (BSR) disease using dielectric spectroscopy
Basal stem rot (BSR) is a prominent plant disease caused by Ganoderma boninense fungus,
which infects oil palm plantations leading to large economic losses in palm oil production …
which infects oil palm plantations leading to large economic losses in palm oil production …
Application of ground-based LiDAR for analysing oil palm canopy properties on the occurrence of basal stem rot (BSR) disease
Ground-based LiDAR also known as Terrestrial Laser Scanning (TLS) technology is an
active remote sensing imaging method said to be one of the latest advances and …
active remote sensing imaging method said to be one of the latest advances and …
Digital image processing technique for palm oil leaf disease detection using multiclass SVM classifier
ANI Masazhar, MM Kamal - 2017 IEEE 4th International …, 2017 - ieeexplore.ieee.org
Disease in oil palm sector is one of the major concerns cause it effects the production and
economy losses to Malaysia. The problem of disease that arises in oil palm plantation are …
economy losses to Malaysia. The problem of disease that arises in oil palm plantation are …
Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods
Oil palm is a key agricultural resource in Malaysia. However, palm disease, most
prominently basal stem rot caused at least RM 255 million of annual economic loss. Basal …
prominently basal stem rot caused at least RM 255 million of annual economic loss. Basal …
Rapid collection and aptamer-based sensitive electrochemical detection of soybean rust fungi airborne urediniospores
V Krivitsky, E Granot, Y Avidor, E Borberg… - ACS …, 2021 - ACS Publications
Plants are the central source of food for humans around the world. Unfortunately, plants can
be negatively affected by diverse kinds of diseases that are responsible for major economic …
be negatively affected by diverse kinds of diseases that are responsible for major economic …
On-field optical imaging data for the pre-identification and estimation of leaf deformities
Visually nonidentifiable pathological symptoms at an early stage are a major limitation in
agricultural plantations. Thickness reduction in palisade parenchyma (PP) and spongy …
agricultural plantations. Thickness reduction in palisade parenchyma (PP) and spongy …