Ma. Luisa Buchaillot

ORCID: 0000-0003-4668-5458
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Smart Agriculture and AI
  • Leaf Properties and Growth Measurement
  • Remote Sensing and LiDAR Applications
  • Spectroscopy and Chemometric Analyses
  • Banana Cultivation and Research
  • Plant Disease Management Techniques
  • Nematode management and characterization studies
  • Land Use and Ecosystem Services
  • Plant Pathogens and Fungal Diseases
  • Plant Stress Responses and Tolerance
  • Plant responses to elevated CO2
  • Horticultural and Viticultural Research
  • Greenhouse Technology and Climate Control
  • Wheat and Barley Genetics and Pathology
  • Crop Yield and Soil Fertility
  • Genetics and Plant Breeding
  • Turfgrass Adaptation and Management
  • Genetic Mapping and Diversity in Plants and Animals
  • Plant Virus Research Studies
  • Plant nutrient uptake and metabolism
  • Mosquito-borne diseases and control
  • Archaeological Research and Protection
  • Insect and Arachnid Ecology and Behavior

Universitat de Barcelona
2018-2023

The use of satellites to monitor crops and support their management is gathering increasing attention. improved temporal, spatial, spectral resolution the European Space Agency (ESA) launched Sentinel-2 A + B twin platform paving way popularization in precision agriculture. Besides constellation technical features open-access nature information they generate, available software are a significant improvement for agricultural monitoring. This paper was motivated by challenges faced researchers...

10.3390/agronomy10050641 article EN cc-by Agronomy 2020-05-01

Maize is the most cultivated cereal in Africa terms of land area and production, but low soil nitrogen availability often constrains yields. Developing new maize varieties with high reliable yields using traditional crop breeding techniques field conditions can be slow costly. Remote sensing has become an important tool modernization field-based high-throughput plant phenotyping (HTPP), providing faster gains towards improvement yield potential adaptation to abiotic biotic limiting...

10.3390/s19081815 article EN cc-by Sensors 2019-04-16

By combining hyperspectral signatures of peanut and soybean, we predicted Vcmax Jmax with 70 50% accuracy. The PLS was the model that better these photosynthetic parameters. One proposed key strategy for increasing potential crop stability yield centers on exploitation genotypic variability in capacity through precise high-throughput phenotyping techniques. Photosynthetic parameters, such as maximum rate Rubisco catalyzed carboxylation (Vc,max) electron transport supporting RuBP regeneration...

10.1007/s00425-022-03867-6 article EN cc-by Planta 2022-03-24

Ear density is one of the most important agronomical yield components in wheat. counting time-consuming and tedious as it often conducted manually field conditions. Moreover, different sampling techniques are used resulting a lack standard protocol, which may eventually affect inter-comparability results. Thermal sensors capture crop canopy features with more contrast than RGB for image segmentation classification tasks. An automatic thermal ear system proposed to count number ears using...

10.3390/rs11070751 article EN cc-by Remote Sensing 2019-03-28

In spite of the benefits heterosis in maize breeding, little is known about physiological mechanisms this phenomenon and its genetic control under different water regimes. This study aimed to understand effects on plant growth, photosynthetic transpiration traits, root traits four inbred popcorn lines their hybrids, including reciprocal combinations. Plants were grown lysimeters, inside a rain shelter, two conditions (water stress – WS; well-watered WW) until anthesis. Plant growth included...

10.1016/j.agwat.2021.107371 article EN cc-by-nc-nd Agricultural Water Management 2021-12-08

The second United Nations Sustainable Development Goal (SDG2), zero hunger, aims to improve the productivity, food security, nutrition, and sustainability of small-scale farmers. fall armyworm (FAW, Spodoptera frugiperda) has been devasting smallholder farmer security since it spread sub-Saharan Africa in 2016, who have suffered massive crop losses, particularly maize, an important staple for basic sustenance. Since FAW mainly devours green leaf biomass during maize vegetative growth stage,...

10.3390/rs14195003 article EN cc-by Remote Sensing 2022-10-08

The productivity of wheat in the Mediterranean region is under threat due to climate-change-related environmental factors, including fungal diseases that can negatively impact yield and quality. Wheat phenotyping tools utilizing affordable, high-throughput plant (HTPP) techniques, such as aerial ground RGB images quick canopy leaf sensors, aid assessing crop status selecting tolerant varieties. This study focused on region, considering need for a precise selection research examined use...

10.3390/drones7070454 article EN cc-by Drones 2023-07-08

Ear density, or the number of ears per square meter (ears/m2), is a central focus in many cereal crop breeding programs, such as wheat and barley, representing an important agronomic yield component for estimating grain yield. Therefore, quick, efficient, standardized technique assessing ear density would aid improving agricultural management, providing improvements preharvest predictions, could even be used tool when it has been defined trait importance. Not only are current techniques...

10.3791/58695 article EN Journal of Visualized Experiments 2019-02-02

Fall armyworm (FAW) is a polyphagus pest with preference for young maize leaves that relocates to the cob during development and can devastate yields. Time series anomaly change detection first derivative growth pattern analyses were conducted under hypothesis that, if unimpeded occurring vegetativegrowth stage, FAW presence will result in reduction of LAI or total green biomass (NDVI) crop. We have observations NDVI/LAI at three different scales from continental field scales., (i)...

10.1109/igarss39084.2020.9323181 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2020-09-26

Proximal remote sensing devices are novel tools that enable the study of plant health status through measurement specific characteristics, including color or spectrum light reflected transmitted by leaves canopy. The aim this is to compare RGB and multispectral data collected during five years (2016–2020) four fruiting vegetables (melon, tomato, eggplant, peppers) with trial treatments non-grafted grafted onto resistant rootstocks cultivated in a Meloidogyne incognita (a root-knot nematode)...

10.3390/agronomy12051098 article EN cc-by Agronomy 2022-04-30

The systematic use of plant protection products is now being called into question with the growing awareness risks they can represent for environment and human health. application precision agriculture technologies helps to improve agricultural production but also rationalize input costs ecological footprints. Here we present a study on fungicide efficiency its impact grass quality golf course green using free open-source image analysis software FIJI (Image J) analyze ground RGB...

10.3390/su14063666 article EN Sustainability 2022-03-21

Maize is the most commonly cultivated cereal in Africa terms of land area and production. Low yields this region are very often associated with issues related to low Nitrogen (N), such as soil fertility or fertilizer availability. Developing new maize varieties high reliable actual field conditions using traditional crop breeding techniques can be slow costly. Remote sensing has become an important tool modernization field-based High Throughput Plant Phenotyping (HTPP), providing faster...

10.3390/ecrs-2-05180 article EN cc-by 2018-03-22

The state-of-the-art on the use of commercially available consumer color digital cameras, which capture Red, Green and Blue light covering visible spectrum with broad spectral bands but at high spatial resolution accurate calibration has produced some interesting results in recent years, bringing back benefits "hyperspatial" imaging for estimating various plant physiological characteristics related to both biotic abiotic stressors. Here we will review RGB vegetation indexes that concept...

10.1109/igarss39084.2020.9324132 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2020-09-26

Currently, for Pinus pinea L., a valuable Mediterranean forest species in Catalonia, Spain, pinecone production is quantified visually before harvest with manual count of the number pinecones third year selection trees and then extrapolated to estimate productivity. To increase efficiency objectivity this process, we propose use remote sensing productivity every tree whole (complete coverage vs. subsampling). The unmanned aerial vehicle (UAV) flights high-spatial-resolution imaging sensors...

10.3390/iecf2021-10789 article EN cc-by 2022-06-17

Ear density, or the number of ears per square meter (ears/m2), is a central focus in many cereal crop breeding programs, such as wheat and barley, representing an important agronomic yield component for estimating grain yield. Therefore, quick, efficient, standardized technique assessing ear density would aid improving agricultural management, providing improvements preharvest predictions, could even be used tool when it has been defined trait importance. Not only are current techniques...

10.3791/58695-v article EN Journal of Visualized Experiments 2019-02-02

A different top-dressing fertilization gradient was applied to four separate study areas across a wheat field in Córdoba, Argentina. Sentine1-2 derived vegetation indexes were computed assess nitrogen monitoring capacities. The using the red edge wavelength region showed high capacity sense status with urea inputs (300kg/ha). VIs visible part of spectrum did not report accurate values for monitoring. higher revisit time and red-edge bands be an advantage, revealing potentialities coordinate...

10.1109/m2garss47143.2020.9105148 article EN 2020-03-01

<p>By 2050 future global food demand is projected to require a doubling of agricultural output, and climate change will exacerbate this challenge by intensifying the exposure field crops abiotic stress conditions, including rising temperature, increased drought, CO<sub>2</sub> concentration ([CO<sub>2</sub>]). One keys improving crop yield under different stresses studying photosynthesis. Photosynthetic parameters, such as...

10.5194/egusphere-egu2020-18251 article EN 2020-03-10

Proximal remote sensing devices are novel tools that enable the study of plant health status through measurement specific characteristics, including color or spectrum light reflected transmitted by leaves canopy. Among these, RGB images can provide spatially detailed information about crop estimates biomass, chlorophyll (and chlorosis) and fractional vegetation cover. The aim this is to compare data collected during five years (2016–2020) four fruiting vegetables (melon, tomato, eggplant...

10.3390/iecag2021-09718 article EN cc-by 2021-05-01

The temperature of the plant canopy is closely related with its transpirative status, and therefore, stomatal conductance cooling capacity. Ear leaf can provide useful information for monitoring crop water irrigation management yield assessment. Previous studies have shown differences in between ears leaves, higher ear temperatures than observed. By employing a high resolution thermal radiometric camera proximal imaging, be used segmentation as well estimation. This work uses images taken...

10.1117/12.2532758 article EN 2019-10-18
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