[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 …

[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry

JM Jurado, A López, L Pádua, JJ Sousa - International journal of applied …, 2022 - Elsevier
Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Divergent abiotic spectral pathways unravel pathogen stress signals across species

PJ Zarco-Tejada, T Poblete, C Camino… - Nature …, 2021 - nature.com
Plant pathogens pose increasing threats to global food security, causing yield losses that
exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major …

From remotely‐sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data

Y Sun, J Wen, L Gu, J Joiner, CY Chang… - Global change …, 2023 - Wiley Online Library
Although our observing capabilities of solar‐induced chlorophyll fluorescence (SIF) have
been growing rapidly, the quality and consistency of SIF datasets are still in an active stage …

[HTML][HTML] Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne …

T Poblete, JA Navas-Cortes, A Hornero… - Remote Sensing of …, 2023 - Elsevier
Infection by the fungus Verticillium dahliae (Vd) and the bacterium Xylella fastidiosa (Xf)
threatens the production of olives (Olea europaea L.) and almonds (Prunus dulcis Mill.) …

Thermal imaging: The digital eye facilitates high-throughput phenotyping traits of plant growth and stress responses

T Wen, JH Li, Q Wang, YY Gao, GF Hao… - Science of The Total …, 2023 - Elsevier
Plant phenotyping is important for plants to cope with environmental changes and ensure
plant health. Imaging techniques are perceived as the most critical and reliable tools for …

Assessment of crop traits retrieved from airborne hyperspectral and thermal remote sensing imagery to predict wheat grain protein content

AR Longmire, T Poblete, JR Hunt, D Chen… - ISPRS Journal of …, 2022 - Elsevier
Wheat (Triticum spp.) is among the world's most widely grown crops and receives large
quantities of nitrogen (N) fertiliser. Grain protein content (GPC) is influenced by genetic …

A novel plant disease prediction model based on thermal images using modified deep convolutional neural network

I Bhakta, S Phadikar, K Majumder, H Mukherjee… - Precision …, 2023 - Springer
With the advancement of deep learning and thermal imaging technology, prediction of plant
disease before the appearance of any visual symptoms gains attention. Studies showed that …

Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: Modelling and validation in the context of plant …

A Belwalkar, T Poblete, A Longmire, A Hornero… - Remote Sensing of …, 2022 - Elsevier
Solar-induced chlorophyll fluorescence (SIF) can be used as an indicator of crop
photosynthetic activity and a proxy for vegetation stress in plant phenotyping and precision …

The role of remote sensing in olive growing farm management: a research outlook from 2000 to the present in the framework of precision agriculture applications

G Messina, G Modica - Remote Sensing, 2022 - mdpi.com
Given the importance of olive growing, especially in Mediterranean countries, it is crucial
that there is a constant process of modernization aimed at both environmental sustainability …