Exploring the potential of proximal remote sensing in plant stress phenotyping: a comprehensive review

T Patel, A Babbar, K Behera… - International …, 2023 - eprint.subtopublish.com
The global challenge of feeding the world demands attention due to the projected
population increase to 10.9 billion by 2050. Abiotic and biotic stressors, such as heat …

Remote sensing for field-based crop phenotyping

J Liu, Z Zhou, B Li - Frontiers in Plant Science, 2024 - frontiersin.org
With the population predicted to increase to over 9.6 billion by 2050, and food demand
anticipated to increase by between 60 and 100%, sustainable and resilient agricultural …

[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

K Berger, M Machwitz, M Kycko, SC Kefauver… - Remote sensing of …, 2022 - Elsevier
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

Use of modern physical tools for mitigating the effect of abiotic stresses

VP Rai, R Ranjan, AR Gadhiya, BM Mote - Stress Tolerance in Horticultural …, 2021 - Elsevier
Accurate phenotyping and its rapid acquisition/interpretation play a significant role in crop
science research for deciphering the level of inheritance and expression of genes linked to …

Sensing technologies for precision phenotyping in vegetable crops: current status and future challenges

P Tripodi, D Massa, A Venezia, T Cardi - Agronomy, 2018 - mdpi.com
Increasing the ability to investigate plant functions and structure through non-invasive
methods with high accuracy has become a major target in plant breeding and precision …

Capturing crop adaptation to abiotic stress using image-based technologies

N Al-Tamimi, P Langan, V Bernád, J Walsh… - Open …, 2022 - royalsocietypublishing.org
Farmers and breeders aim to improve crop responses to abiotic stresses and secure yield
under adverse environmental conditions. To achieve this goal and select the most resilient …

[PDF][PDF] Machine vision and artificial intelligence for plant growth stress detection and monitoring: A review

S Islam, MN Reza, SA Samsuzzaman, YJ Cho… - Precision …, 2024 - researchgate.net
The agricultural sector faces increasing challenges in ensuring food security and optimizing
crop yield, necessitating innovative solutions for early detection and mitigation of plant …

Hyperspectral assessment of plant responses to multi‐stress environments: Prospects for managing protected agrosystems

L Cotrozzi, JJ Couture - Plants, People, Planet, 2020 - Wiley Online Library
Societal Impact Statement Advancements in our ability to rapidly detect plant responses to
stress are necessary to improve crop management practices and meet the global challenge …

Extending hyperspectral imaging for plant phenotyping to the UV-range

A Brugger, J Behmann, S Paulus, HG Luigs, MT Kuska… - Remote Sensing, 2019 - mdpi.com
Previous plant phenotyping studies have focused on the visible (VIS, 400–700 nm), near-
infrared (NIR, 700–1000 nm) and short-wave infrared (SWIR, 1000–2500 nm) range. The …

Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review

G Lassalle - Science of the Total Environment, 2021 - Elsevier
This review outlines the advances achieved in monitoring natural and anthropogenic plant
stressors by hyperspectral remote sensing over the last 50 years. A broad diversity of …