Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

T Kattenborn, J Leitloff, F Schiefer, S Hinz - ISPRS journal of …, 2021 - Elsevier
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …

[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 …

Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress

GH Mohammed, R Colombo, EM Middleton… - Remote sensing of …, 2019 - Elsevier
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front
in terrestrial vegetation science, with emerging capability in space-based methodologies …

Current state of hyperspectral remote sensing for early plant disease detection: A review

A Terentev, V Dolzhenko, A Fedotov, D Eremenko - Sensors, 2022 - mdpi.com
The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

A Porcar-Castell, Z Malenovský, T Magney… - Nature plants, 2021 - nature.com
For decades, the dynamic nature of chlorophyll a fluorescence (ChlaF) has provided insight
into the biophysics and ecophysiology of the light reactions of photosynthesis from the …

Nanobiotechnology approaches for engineering smart plant sensors

JP Giraldo, H Wu, GM Newkirk, S Kruss - Nature nanotechnology, 2019 - nature.com
Nanobiotechnology has the potential to enable smart plant sensors that communicate with
and actuate electronic devices for improving plant productivity, optimize and automate water …

High-throughput estimation of crop traits: A review of ground and aerial phenoty** platforms

X **, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

[HTML][HTML] High-throughput phenoty**: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenoty** has become the bottleneck restricting crop breeding. Breaking through this …

Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models

CF Randin, MB Ashcroft, J Bolliger… - Remote sensing of …, 2020 - Elsevier
In the face of the growing challenges brought about by human activities, effective planning
and decision-making in biodiversity and ecosystem conservation, restoration, and …

Thermal imaging for plant stress detection and phenoty**

M Pineda, M Barón, ML Pérez-Bueno - Remote Sensing, 2020 - mdpi.com
In the last few years, large efforts have been made to develop new methods to optimize
stress detection in crop fields. Thus, plant phenoty** based on imaging techniques has …