Proximal hyperspectral sensing of abiotic stresses in plants

A Sanaeifar, C Yang, M de la Guardia, W Zhang… - Science of The Total …, 2023 - Elsevier
Recent attempts, advances and challenges, as well as future perspectives regarding the
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …

[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 …

Image-based high-throughput phenotyping in horticultural crops

AM Abebe, Y Kim, J Kim, SL Kim, J Baek - Plants, 2023 - mdpi.com
Plant phenotyping is the primary task of any plant breeding program, and accurate
measurement of plant traits is essential to select genotypes with better quality, high yield …

Proximal hyperspectral imaging detects diurnal and drought-induced changes in maize physiology

S Mertens, L Verbraeken, H Sprenger… - Frontiers in plant …, 2021 - frontiersin.org
Hyperspectral imaging is a promising tool for non-destructive phenotyping of plant
physiological traits, which has been transferred from remote to proximal sensing …

Drought stress identification of tomato plant using multi-features of hyperspectral imaging and subsample fusion

S Weng, J Ma, W Tao, Y Tan, M Pan, Z Zhang… - Frontiers in plant …, 2023 - frontiersin.org
Drought stress (DS) is one of the most frequently occurring stresses in tomato plants.
Detecting tomato plant DS is vital for optimizing irrigation and improving fruit quality. In this …

[HTML][HTML] Deep learning for classification of time series spectral images using combined multi-temporal and spectral features

JL Xu, S Hugelier, H Zhu, AA Gowen - Analytica chimica acta, 2021 - Elsevier
Time series spectral imaging facilitates a comprehensive understanding of the underlying
dynamics of multi-component systems and processes. Most existing classification strategies …

[HTML][HTML] Potential application of hyperspectral imaging and FT-NIR spectroscopy for discrimination of soilless tomato according to growing techniques, water use …

H Fazayeli, ML Amodio, D Fatchurrahman, F Serio… - Scientia …, 2024 - Elsevier
Background This study aimed to test the potential of nondestructive optical techniques for
classifying sustainable-produced tomatoes according to a) growing practices; b) levels of …

From Genome to Field—Observation of the Multimodal Nematicidal and Plant Growth-Promoting Effects of Bacillus firmus I-1582 on Tomatoes Using Hyperspectral …

N Susič, U Žibrat, L Sinkovič, A Vončina, J Razinger… - Plants, 2020 - mdpi.com
Root-knot nematodes are considered the most important group of plant-parasitic nematodes
due to their wide range of plant hosts and subsequent role in yield losses in agricultural …

Detection of Root-Knot Nematode Meloidogyne luci Infestation of Potato Tubers Using Hyperspectral Remote Sensing and Real-Time PCR Molecular Methods

U Žibrat, B Gerič Stare, M Knapič, N Susič, J Lapajne… - Remote Sensing, 2021 - mdpi.com
Root-knot nematodes (Meloidogyne spp.) are considered the most aggressive, damaging,
and economically important group of plant-parasitic nematodes and represent a significant …

Plant-parasitic nematode research in the arid desert landscape: a systematic review of challenges and bridging interventions

A Elhady, L Alghanmi, MMM Abd-Elgawad… - Frontiers in Plant …, 2024 - frontiersin.org
Plant-parasitic nematode research in the Middle East and North Africa (MENA) region faces
significant challenges rooted in a need for proper assembly, diversity, and a unified and …