[HTML][HTML] Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

H Tao, S Xu, Y Tian, Z Li, Y Ge, J Zhang, Y Wang… - Plant …, 2022 - cell.com
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …

Verticillium wilt of olive and its control: what did we learn during the last decade?

N Montes-Osuna, J Mercado-Blanco - Plants, 2020 - mdpi.com
Verticillium (Verticillium dahliae Kleb.) wilt is one of the most devastating diseases affecting
olive (Olea europaea L. subsp. europaea var. europae a) cultivation. Its effective control …

Exploration of alternative approaches to phenotyping of late leaf spot and groundnut rosette virus disease for groundnut breeding

I Chapu, DK Okello, RCO Okello, TL Odong… - Frontiers in Plant …, 2022 - frontiersin.org
Late leaf spot (LLS), caused by Nothopassalora personata (Berk. & MA Curt.), and
groundnut rosette disease (GRD),[caused by groundnut rosette virus (GRV)], represent the …

Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal …

P Marques, L Pádua, JJ Sousa, A Fernandes-Silva - Remote Sensing, 2023 - mdpi.com
Global warming presents a significant threat to the sustainability of agricultural systems,
demanding increased irrigation to mitigate the impacts of prolonged dry seasons. Efficient …

Multi-locus genome-wide association studies reveal genomic regions and putative candidate genes associated with leaf spot diseases in African groundnut (Arachis …

R Oteng-Frimpong, B Karikari, EK Sie… - Frontiers in Plant …, 2023 - frontiersin.org
Early leaf spot (ELS) and late leaf spot (LLS) diseases are the two most destructive
groundnut diseases in Ghana resulting in≤ 70% yield losses which is controlled largely by …

Estimation of yellow rust severity in wheat using visible and thermal imaging coupled with machine learning models

RN Singh, P Krishnan, VK Singh, B Das - Geocarto International, 2023 - Taylor & Francis
Reliable and quick estimation of wheat yellow rust (WYR) severity in field is essential to
manage the disease and minimize the losses. Field experiments were conducted during …

Research progress and prospect in plant phenotyping platform and image analysis technology

Z Huichun, Z Hongping, Z Jiaqiang, GE Yufeng… - Nongye Jixie Xuebao …, 2020 - nyjxxb.net
In recent years, the rapid development of plant genomes, but the lack of sufficient phenotypic
data limits the ability of humans to analyze the genetics of quantitative traits. This problem …

Quantifying citrus tree health using true color UAV images

BN Garza, V Ancona, J Enciso, HL Perotto-Baldivieso… - Remote Sensing, 2020 - mdpi.com
Huanglongbing (HLB) and Phytophthora foot and root rot are diseases that affect citrus
production and profitability. The symptoms and physiological changes associated with these …

[PDF][PDF] Deep Learning for Image-Based Plant Growth Monitoring: A Review.

YS Tong, TH Lee, KS Yen - International Journal of Engineering & …, 2022 - researchgate.net
Deep learning (DL) approaches have received extensive attention in plant growth
monitoring due to their ground-breaking performance in image classification; however, the …

Detection of Lesions in Lettuce Caused by Pectobacterium carotovorum Subsp. carotovorum by Supervised Classification Using Multispectral Images

GJS Carmo, R Castoldi, GD Martins… - Canadian Journal of …, 2022 - Taylor & Francis
This study aimed to detect soft rot caused by Pectobacterium carotovorum subsp.
carotovorum in lettuce using images obtained by multispectral sensors mounted on an …