3D plant model assessed by terrestrial LiDAR and hemispherical photographs: A useful tool for comparing light interception among oil palm progenies

Perez, Raphaël; Costes, Evelyne; Théveny, Frédéric; Griffon, Sébastien; Caliman, Jean‐Pierre; Dauzat, Jean

doi:10.1016/j.agrformet.2017.11.008

Cited by 22 publications

(15 citation statements)

References 51 publications

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“…However, these methodologies cannot account for the canopy structure or estimate how much light is intercepted at different times of the day. New methodologies based on a combination of LiDAR and 3D modelling of the canopy (Perez et al ., ) have been used to accurately estimate light interception accumulated over time in different genotypes of palm trees (Perez et al ., ). A similar approach can be applied in annual crops, and the combination of LiDAR and 3D modelling has also been used in wheat for estimating green area index (Liu et al ., ).…”

Section: Biomass Radiation Use Efficiency and Photosynthesis: New Fmentioning

confidence: 99%

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops

et al. 2019

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Summary Plant phenotyping forms the core of crop breeding, allowing breeders to build on physiological traits and mechanistic science to inform their selection of material for crossing and genetic gain. Recent rapid progress in high‐throughput techniques based on machine vision, robotics, and computing (plant phenomics) enables crop physiologists and breeders to quantitatively measure complex and previously intractable traits. By combining these techniques with affordable genomic sequencing and genotyping, machine learning, and genome selection approaches, breeders have an opportunity to make rapid genetic progress. This review focuses on how field‐based plant phenomics can enable next‐generation physiological breeding in cereal crops for traits related to radiation use efficiency, photosynthesis, and crop biomass. These traits have previously been regarded as difficult and laborious to measure but have recently become a focus as cereal breeders find genetic progress from ‘Green Revolution’ traits such as harvest index become exhausted. Application of LiDAR, thermal imaging, leaf and canopy spectral reflectance, Chl fluorescence, and machine learning are discussed using wheat and sorghum phenotyping as case studies. A vision of how crop genomics and high‐throughput phenotyping could enable the next generation of crop research and breeding is presented.

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Section: Biomass Radiation Use Efficiency and Photosynthesis: New Fmentioning

confidence: 99%

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops

et al. 2019

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“…factor that determines the reliability of the simulation results. At the field level, many research studies were conducted on 3D point cloud acquisition of field crop canopy based on UAV (unmanned aerial vehicle) and LiDAR [22,23]. Based on these 3D point clouds, plant height, ground cover, and above-ground biomass were obtained [24,25].…”

Section: E Contribution Of 3d Model In Simulation Researchmentioning

confidence: 99%

Optimal Utilization of Light Energy in Semiclosed Greenhouse Using Three-Dimensional Cucumber Model

Qian

Zheng

Yang

et al. 2020

Scientific Programming

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In the east of China, low temperature and light energy in winter are the main factors for the decline in cucumber yield, as well as in greenhouses without supplementary light. Optimal utilization of light energy is critical to increase cucumber yield. In this study, experimental measurements were conducted in two scenarios, April to May (Apr-May) and November to December (Nov-Dec) 2015, respectively, to analyze leaf development, dry matter accumulation, and yield of cultivated cucumber. Statistical analysis showed that leaves grew in Nov-Dec had larger leaf area and lower dry matter than leaves grew in Apr-May. This revealed that the dry matter accumulation rate per unit area was lower in winter. To be precise, the yield 0.174 kg/m2 per day in Nov-Dec was 35.3% lower than the yield in Apr-May. Environmental monitoring data showed that there was no significant difference in the average temperature between two scenarios, but the light intensity in Nov-Dec was only 2/3 of that in Apr-May. Three-dimensional (3D) cucumber canopy models were used in this study to quantify the effects of weak light on dry matter production in Nov-Dec. Three 3D canopies of cucumber were reconstructed with 20, 25, and 30 leaves per plant, respectively, by using a parametric modeling method. Light interception of three canopies from 8:00 to 15:00 on 4 November 2015 was simulated by using the radiosity-graphic combined model (RGM) with an hourly time step. CO2 assimilation per unit area was calculated using the FvCB photosynthetic model. As a result, the effects of light intensity and CO2 concentration on the photosynthetic rate were considered. The leaf photosynthesis simulation result showed that during the daytime in winter, the RuBP regeneration-limited assimilation Aj was always less than the Rubisco-limited assimilation Ac. This means that the limiting factor affecting the photosynthesis rate in winter was rather light intensity. As the CO2 concentration in the greenhouse was utmost in the morning, increasing the light intensity and therefrom increasing the canopy light interception at this time will be highly beneficial to increase the yield production. Through a comparative analysis of photosynthetic characteristics in these three virtual 3D canopies, the 25-leaf canopy was the best-performed canopy structure in photosynthetic production in winter. This study provides an insight into the light deficiency for yield production in winter and a solution to make optimal use of light in the greenhouse.

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“…Li et al 2018 simulated the interactions between light and heterogeneous 3D forest scenes using Monte Carlo path tracing with the 3D structure of the forest constructed with a LiDAR. Perez et al 2018 indicated that significant differences in light interception efficiencies in different palm progenies were observed, using five 3D architectural models, constructed with a LiDAR and ray tracing. The importance of plant architectural components, such as internode length and leaf shape for light absorption and photosynthesis, were investigated using a virtual plant Sarlikioti et al, 2011.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the light interception of a cultivated tomato crop canopy under different furrow distances in a greenhouse using the ray tracing

Ohashi

Torii

Ishigami

et al. 2020

J. Agric. Meteorol.

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We constructed 3D models of the greenhouse 168 m 2 and tomato plants plant height: 150 cm . The point cloud data of tomato plants was acquired by a 3D scanner and converted to the 3D model, which was constructed using polygons. The canopy 3D model was installed in the greenhouse 3D model. In addition, the date, time, latitude, longitude, global solar radiation, and optical properties of objects, such as plants and covering material, were used as input values to estimate the amount of solar radiation received by canopy models using the ray tracing. The amount of solar radiation received by the canopy models at different layers under different furrow distances 60 -160 cm was calculated every 1 h. The lower layer and the middle layer of tomato plants were saturated with solar radiation at furrow distances of 120 cm and 100 cm, respectively. However, the radiation received by the upper layer of tomato plants did not change across the range 60 -160 cm of investigated furrow distances. This investigation has provided a visual demonstration of the relationship between the arrangement of cultivated fruit and vegetable plants, such as tomato, in the greenhouse and the amount of solar radiation received.

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3D plant model assessed by terrestrial LiDAR and hemispherical photographs: A useful tool for comparing light interception among oil palm progenies

Cited by 22 publications

References 51 publications

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops

Optimal Utilization of Light Energy in Semiclosed Greenhouse Using Three-Dimensional Cucumber Model

Estimation of the light interception of a cultivated tomato crop canopy under different furrow distances in a greenhouse using the ray tracing

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