A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
Machine learning for high-throughput stress phenotyping in plants
Advances in automated and high-throughput imaging technologies have resulted in a
deluge of high-resolution images and sensor data of plants. However, extracting patterns …
deluge of high-resolution images and sensor data of plants. However, extracting patterns …
[HTML][HTML] Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
Front-line remote sensing tools, coupled with machine learning (ML), have a significant role
in crop monitoring and disease surveillance. Crop type classification and a disease early …
in crop monitoring and disease surveillance. Crop type classification and a disease early …
Early detection of plant viral disease using hyperspectral imaging and deep learning
C Nguyen, V Sagan, M Maimaitiyiming… - Sensors, 2021 - mdpi.com
Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
Plant disease detection by imaging sensors–parallels and specific demands for precision agriculture and plant phenotyping
AK Mahlein - Plant disease, 2016 - Am Phytopath Society
Early and accurate detection and diagnosis of plant diseases are key factors in plant
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …
Hyperspectral sensors and imaging technologies in phytopathology: state of the art
Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …
applications. Visual assessment by human raters is time-consuming, expensive, and error …
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting
symptoms, is a key quantitative variable to know for many diseases and is prone to error …
symptoms, is a key quantitative variable to know for many diseases and is prone to error …
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
S Thomas, MT Kuska, D Bohnenkamp… - Journal of Plant …, 2018 - Springer
The detection and identification of plant diseases is crucial for an appropriate and targeted
application of plant protection measures in crop production. Recently, intensive research …
application of plant protection measures in crop production. Recently, intensive research …
Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
Early and accurate diagnosis is a critical first step in mitigating losses caused by plant
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
Close range hyperspectral imaging of plants: A review
Highlights•HSI is an automated, non-destructive and rapid alternative to explore plant
traits.•It acquires both chemical and structural information related with plant …
traits.•It acquires both chemical and structural information related with plant …