Monitoring plant diseases and pests through remote sensing technology: A review

J Zhang, Y Huang, R Pu, P Gonzalez-Moreno… - … and Electronics in …, 2019 - Elsevier
Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …

Fungal disease detection in plants: Traditional assays, novel diagnostic techniques and biosensors

M Ray, A Ray, S Dash, A Mishra, KG Achary… - Biosensors and …, 2017 - Elsevier
Fungal diseases in commercially important plants results in a significant reduction in both
quality and yield, often leading to the loss of an entire plant. In order to minimize the losses …

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 …

农业遥感研究应用进展与展望

陈仲新, 任建强, 唐华俊, 史云, 冷佩, 刘佳, 王利民… - 遥感学报, 2021 - ygxb.ac.cn
得益于中国自主遥感卫星, 无人机遥感和物联网等技术的发展, 中国农业遥感研究与应用在过去
20 年取得了显著进步, 中国农业遥感信息获取呈现出天地网一体化的趋势; 农业定量遥感在关键 …

Early detection and classification of plant diseases with support vector machines based on hyperspectral reflectance

T Rumpf, AK Mahlein, U Steiner, EC Oerke… - … and electronics in …, 2010 - Elsevier
Automatic methods for an early detection of plant diseases are vital for precision crop
protection. The main contribution of this paper is a procedure for the early detection and …

Plant disease detection using hyperspectral imaging

P Moghadam, D Ward, E Goan… - … on Digital Image …, 2017 - ieeexplore.ieee.org
Precision agriculture has enabled significant progress in improving yield outcomes for
farmers. Recent progress in sensing and perception promises to further enhance the use of …

[PDF][PDF] 作物病虫害遥感监测研究进展

张竞成, 袁琳, 王纪华, 罗菊花, 杜世州, 黄文江 - 农业工程学报, 2012 - rscrop.com
农作物病虫害监测目前在数据采集上主要依靠植保人员田间调查, 田间取样等传统方式,
不仅耗时, 费力, 而且存在以点代面的代表性差, 主观性强和时效性差等弊端 …

Spectral signatures of sugar beet leaves for the detection and differentiation of diseases

AK Mahlein, U Steiner, HW Dehne, EC Oerke - Precision agriculture, 2010 - Springer
This study examines the potential of hyperspectral sensor systems for the non-destructive
detection and differentiation of plant diseases. In particular, a comparison of three fungal leaf …

Unmanned Aerial Vehicle (UAV)-based remote sensing to monitor grapevine leaf stripe disease within a vineyard affected by esca complex

SF Di Gennaro, E Battiston, S Di Marco, O Facini… - Phytopathologia …, 2016 - JSTOR
Foliar symptoms of grapevine leaf stripe disease (GLSD, a disease within the esca complex)
are linked to drastic alteration of photosynthetic function and activation of defense responses …

Monitoring maize canopy chlorophyll density under lodging stress based on UAV hyperspectral imagery

Q Sun, X Gu, L Chen, X Xu, Z Wei, Y Pan… - … and Electronics in …, 2022 - Elsevier
Lodging causes severe decreases in crop yield, reduces grain quality, and increases the
difficulty of mechanical harvesting. Obtaining the spatial distribution information of maize …