Leaf area index estimation under wheat powdery mildew stress by integrating UAV‑based spectral, textural and structural features

Y Liu, L An, N Wang, W Tang, M Liu, G Liu… - … and Electronics in …, 2023 - Elsevier
The infection of powdery mildew changes the internal physiological activity and external
morphology of winter wheat, resulting in damage to crop health. Leaf area index (LAI) is an …

[HTML][HTML] Deep learning-based multi-spectral identification of grey mould

N Giakoumoglou, EM Pechlivani, A Sakelliou… - Smart Agricultural …, 2023 - Elsevier
Early detection of economically important plant diseases, such as grey mould caused by
Botrytis cinerea, is of major importance for the timely application of disease management …

[HTML][HTML] A multispectral dataset for the detection of Tuta absoluta and Leveillula taurica in tomato plants

PS Georgantopoulos, D Papadimitriou… - Smart Agricultural …, 2023 - Elsevier
Tomato (Solanum lycopersicum) is one of the most important vegetables for human nutrition
and its cultivation employs amounts of resources worldwide. However, tomato cultivation is …

Application of multispectral camera in monitoring the quality parameters of fresh tea leaves

L Chen, B Xu, C Zhao, D Duan, Q Cao, F Wang - Remote Sensing, 2021 - mdpi.com
The production of high-quality tea by Camellia sinensis (L.) O. Ktze is the goal pursued by
both producers and consumers. Rapid, nondestructive, and low-cost monitoring methods for …

Cucumber powdery mildew detection using hyperspectral data

CI Fernández, B Leblon, J Wang… - Canadian Journal of …, 2021 - cdnsciencepub.com
This study aimed to understand the spectral changes induced by Podosphaera xanthii, the
causal agent of powdery mildew, in cucumber leaves from the moment of inoculation until …

Automatic scoring of Rhizoctonia crown and root rot affected sugar beet fields from orthorectified UAV images using Machine Learning

FR Ispizua Yamati, M Günder, A Barreto… - Plant …, 2024 - Am Phytopath Society
Rhizoctonia crown and root rot (RCRR), caused by Rhizoctonia solani, can cause severe
yield and quality losses in sugar beet. The most common strategy to control the disease is …

[HTML][HTML] Early detection of Botrytis cinerea symptoms using deep learning multi-spectral image segmentation

N Giakoumoglou, E Kalogeropoulou… - Smart Agricultural …, 2024 - Elsevier
Botrytis cinerea is an airborne plant pathogen, that causes grey mould disease on
horticultural crops, such as tomato, cucumber, pepper, and more. Early detection is crucial …

Close-range multispectral imaging with Multispectral-Depth (MS-D) system

J Vuletić, M Car, M Orsag - Biosystems Engineering, 2023 - Elsevier
In this work, a Multispectral-Depth (MS-D) imaging system for close range plant inspection is
presented. The proposed system is comprised of multispectral cameras calibrated with …

Machine Learning-Based Hyperspectral and RGB Discrimination of Three Polyphagous Fungi Species Grown on Culture Media

J Piekarczyk, A Wójtowicz, M Wójtowicz, J Jasiewicz… - Agronomy, 2022 - mdpi.com
In this study, three fungi species (Botrytis cinerea, Rhizoctonia solani, Sclerotinia
sclerotiorum) were discriminated using hyperspectral and red-green-blue (RGB) data and …

Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application

M Barjaktarovic, M Santoni… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
With the rapid increase of the world population, climate changes, and the slow expansion of
cultivated areas, only precision agriculture (PA) can provide enough food or resources. PA …