Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

K Berger, J Verrelst, JB Féret, Z Wang… - Remote Sensing of …, 2020 - Elsevier
Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …

Agricultural plant diseases identification: From traditional approach to deep learning

J Kotwal, R Kashyap, S Pathan - Materials Today: Proceedings, 2023 - Elsevier
Plant disease computerization in agriculture areas an important for every country, as the
population rate increases the demand for food supply also increases. Today, the significant …

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

A Lowe, N Harrison, AP French - Plant methods, 2017 - Springer
This review explores how imaging techniques are being developed with a focus on
deployment for crop monitoring methods. Imaging applications are discussed in relation to …

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 …

A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades

N Zhang, G Yang, Y Pan, X Yang, L Chen, C Zhao - Remote Sensing, 2020 - mdpi.com
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

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 …

[HTML][HTML] A review of imaging techniques for plant disease detection

V Singh, N Sharma, S Singh - Artificial Intelligence in Agriculture, 2020 - Elsevier
Agriculture is the basis of every economy worldwide. Crop production is one of the major
factors affecting domestic market condition in any country. Agricultural production is also a …

Hyperspectral sensors and imaging technologies in phytopathology: state of the art

AK Mahlein, MT Kuska, J Behmann… - Annual review of …, 2018 - annualreviews.org
Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …

Advanced methods of plant disease detection. A review

F Martinelli, R Scalenghe, S Davino, S Panno… - Agronomy for …, 2015 - Springer
Plant diseases are responsible for major economic losses in the agricultural industry
worldwide. Monitoring plant health and detecting pathogen early are essential to reduce …