A5045778806- Remote Sensing in Agriculture
- Wheat and Barley Genetics and Pathology
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Atmospheric and Environmental Gas Dynamics
- Plant responses to elevated CO2
- Remote Sensing and Land Use
- Water Quality Monitoring and Analysis
- Smart Agriculture and AI
- Atmospheric Ozone and Climate
- Remote Sensing and LiDAR Applications
- Species Distribution and Climate Change
- Greenhouse Technology and Climate Control
- Urban Heat Island Mitigation
- Crop Yield and Soil Fertility
- Photosynthetic Processes and Mechanisms
- Climate Change and Health Impacts
- Infrared Thermography in Medicine
- Soybean genetics and cultivation
- Calibration and Measurement Techniques
- Plant nutrient uptake and metabolism
- Land Use and Ecosystem Services
- Spectroscopy and Chemometric Analyses
Centro Internacional de Mejoramiento de Maíz Y Trigo
2017-2024
Wageningen University & Research
2024
Forschungszentrum Jülich
2011-2020
Abstract Variations in photosynthesis still cause substantial uncertainties predicting photosynthetic CO 2 uptake rates and monitoring plant stress. Changes actual that are not related to greenness of vegetation difficult measure by reflectance based optical remote sensing techniques. Several activities underway evaluate the sun‐induced fluorescence signal on ground a coarse spatial scale using space‐borne imaging spectrometers. Intermediate‐scale observations airborne‐based spectroscopy,...
Abstract Remote estimation of Sun‐induced chlorophyll fluorescence emitted by terrestrial vegetation can provide an unparalleled opportunity to track spatiotemporal variations photosynthetic efficiency. Here we the first direct experimental evidence that two peaks spectrum be accurately mapped from high‐resolution radiance spectra and signal is linked in actual Red far red measured using a novel airborne imaging spectrometer over grass carpet treated with herbicide known inhibit...
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired various acquisition platforms 7 countries/institutions. With an associated competition hosted Kaggle, GWHD_2020 successfully attracted attention both the computer vision agricultural science communities. From this first experience, a few avenues for improvements have been identified regarding data size, head diversity, label reliability. To address...
Plant phenotyping is an emerging discipline in plant biology. Quantitative measurements of functional and structural traits help to better understand gene-environment interactions support breeding for improved resource use efficiency important crops such as bean (Phaseolus vulgaris L.). Here we provide overview state-of-the-art approaches addressing three aspects plants: belowground roots, aboveground shoots transport/allocation processes. We demonstrate the capacity high-precision methods...
Early water stress recognition is of great relevance in precision plant breeding and production. Hyperspectral imaging sensors can be a valuable tool for early detection with high spatio-temporal resolution. They gather large, dimensional data cubes posing significant challenge to analysis. Classical supervised learning algorithms often fail applied sciences due their need labelled datasets, which are difficult obtain. Therefore, new approaches unsupervised relevant patterns needed. We apply...
Passive detection of sun-induced chlorophyll fluorescence (SIF) using spectroscopy has been proposed as a proxy to quantify changes in photochemical efficiency at canopy level under natural light conditions. In this study, we explored the use imaging spatio-temporal dynamics SIF within crop canopies and its sensitivity track patterns photosynthetic activity originating from interaction between vegetation structure incoming radiation well variations plant function. was retrieved Fraunhofer...
Remote sensing (RS) approaches commonly applied to constrain estimates of gross primary production (GPP) employ greenness-based vegetation indices derived from surface reflectance data. Such cannot capture dynamic changes photosynthesis rates as caused by environmental stress. Further, are often affected background or saturation effects. Sun. induced chlorophyll fluorescence (F) provides the most direct measure and has been recently proposed a new RS approach improve GPP tracing plant stress...
Three-dimensional canopies form complex architectures with temporally and spatially changing leaf orientations. Variations in canopy structure are linked to function they occur within the scope of genetic variability as well a reaction environmental factors like light, water nutrient supply, stress. An important key measure characterize these structural properties is angle distribution, which turn requires knowledge on 3-dimensional single surface. Despite large number 3-d sensors methods...
Genomic selection and high-throughput phenotyping (HTP) are promising tools to accelerate breeding gains for high-yielding climate-resilient wheat varieties. Hence, our objective was evaluate them predicting grain yield (GY) in drought-stressed (DS) late-sown heat-stressed (HS) environments of the International maize improvement center's elite trial nurseries. We observed that average genomic prediction accuracies using fivefold cross-validations were 0.50 0.51 DS HS environments,...
Plant height (PH) is an essential trait in the screening of most crops. While crops such as wheat, medium stature helps reduce lodging, tall plants are preferred to increase total above-ground biomass. PH easy measure manually, although it can be labor-intense depending on number plots. There increasing demand for alternative approaches estimate a higher throughput mode. Crop surface models (CSMs) derived from dense point clouds generated via aerial imagery could used PH. This study...
Global warming poses a major threat to food security and necessitates the development of crop varieties that are resilient future climatic instability. By evaluating 149 spring wheat lines in field under yield potential heat stressed conditions, we demonstrate how strategic integration exotic material significantly increases stress compared elite lines, with no significant penalty favourable conditions. Genetic analyses reveal three exotic-derived genetic loci underlying this tolerance which...
The HyPlant imaging spectrometer is a high-performance airborne instrument consisting of two sensor modules. DUAL module records hyperspectral data in the spectral range from 400–2500 nm, which useful to derive biochemical and structural plant properties. In parallel, FLUO acquires red near infrared (670–780 nm), with distinctly higher sampling interval finer resolution. technical specifications allow for retrieval sun-induced chlorophyll fluorescence (SIF), small signal emitted by plants,...
While several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes in plant breeding research, few linked genomics phenomics (imaging). Deep (DL) neural networks to increase GP while simultaneously accounting complexity genotype-environment interaction (GE); however, unlike conventional models, DL has not investigated when is with phenomics. In this study we used 2 wheat data sets (DS1 DS2) compare a...
Abstract Breeding programs for wheat ( Triticum aestivum L.) and other crops require one or more generations of seed increase before replicated trials can be sown to assess yield. Extensive phenotyping at this stage is challenging because the small sizes plots large numbers lines under evaluation, therefore, breeders typically rely on visual selection promote yield evaluation. Aerial high‐throughput (HTP) enables rapid acquisition traits that may useful among early generation lines. With...
Advances in breeding efforts to increase the rate of genetic gains and enhance crop resilience climate change have been limited by procedure costs phenotyping methods. The recent rapid development sensors, image-processing technology, data-analysis has provided opportunities for multiple scales methods systems, including satellite imagery. Among these platforms, imagery may represent one ultimate approaches remotely monitor trials nurseries planted locations while standardizing protocols...
The effect that the canopy structure and viewing geometry have on intensity spatial distribution of passively measured sun-induced chlorophyll fluorescence at scale is still not well understood. These uncertainties constrain potential use to quantify photosynthesis this level. Using a novel technique, we evaluated diurnal changes in 760 nm (F760) within as consequence disposition leaves angle sensor. High resolution spectral stereo images full sugar beet were recorded simultaneously field...