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- 2015
- Xanthomonas oryzae
- multispectral and multimodal microscopy
- spectroscopic imaging
- plant cell diseases
- classification
- rice
- Applied Physics
- University of Sciences, Technique and Technology Bamako
- Institut National Polytechnique Felix Houphou?t-Boigny Yamoussoukro
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[IEEE 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - Beijing, China (2018.10.20-2018.10.22)] 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - A Power Prediction System for Photo-Voltaic Power Plants
摘要： In this paper, a frequency domain identification-based power prediction system is developed for the photo-voltaic (PV) power plant. A first-order plus dead time (FOPDT) model of the PV power plant is first identified using the daily PV power plant operating data. Given the identified FOPDT model, we do discretization to obtain an FOPDT-based iterative calculation formula for the PV power prediction. Finally, a portable Power Prediction software of Python is developed using the resulting iterative calculation formula. In numerical experiments, we showcase the effectiveness of the Power Prediction software by applying it to real data.
关键词： Solar Irradiance,Python,Photovoltaic Power plant,Portable,Frequency Identification,Power Prediction
更新于2025-09-23 15:23:52
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Wheel-Based Lidar Data for Plant Height and Canopy Cover Evaluation to Aid Biomass Prediction
摘要： Biomass estimation is fundamental for a variety of plant ecological studies. Direct measurement of aboveground biomass by clipping and sorting is destructive, time-consuming and laborious, thus reducing the ability of extensive sampling. Various plant traits, such as plant height, canopy cover, and leaf and plant structure contribute towards its biomass. In this study, we focus on exploiting wheel-based LiDAR data over an agricultural field to perform growth monitoring and canopy cover estimation, which would play a crucial role in the future to develop a non-invasive technique for biomass prediction.
关键词： Biomass,plant traits,LiDAR data,plant height,canopy cover
更新于2025-09-23 15:22:29
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[IEEE 2017 International Renewable and Sustainable Energy Conference (IRSEC) - Tangier (2017.12.4-2017.12.7)] 2017 International Renewable and Sustainable Energy Conference (IRSEC) - Video Solar Plant Monitoring
摘要： In order to ensure efficient monitoring of solar plants, aerial video inspection using drones is unavoidable. The usually encountered problem is the shadow caused by drone on solar panels which may cause a false image interpretation. In this paper, we propose a technique of live shadow detection in video frames based on Otsu thresholding algorithm. To avoid Shaded Frames, the supervisor can automatically detect shaded captured frames of solar panels then acquire frames of the same area from another drone position with corrected angle of view of camera.
关键词： Otsu,shadow,solar plant,solar panel
更新于2025-09-23 15:22:29
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Optimized angles of the swing hyperspectral imaging system for single corn plant
摘要： During recent years, hyperspectral imaging systems have been widely applied in the greenhouses for plant phenotyping purposes. Current systems are typically designed as either top view or side view imaging mode. Top view is an ideal imaging angle for top leaves with flat leaf surfaces. However, most bottom leaves are either blocked or shaded. From side view, the entire plant structure is viewable. However, most leaf surfaces are not facing the camera, which impacts measurement quality. Besides, there could be advantages with certain tilted angle(s) between top view and side view. It’s interesting to explore the impact of different imaging angles to the phenotyping quality. For this purpose, a swing hyperspectral imaging system capable of capturing images at any angle from side view (0°) to top view (90°) by rotating the camera and the lighting source was designed. Corn plants were grown and allocated into 3 different treatments: high nitrogen (N) and well-watered (control), high N and drought-stressed, and low N and well-watered. Each plant was imaged at 7 different angles from 0° to 90° with an interval of 15°. The soil plant analysis development (SPAD) values and relative water content (RWC) ground truth measurements were used to establish treatment effects. The results showed that averaged plant-level Normalized Difference Vegetation Index (NDVI) values of plants in different treatments changed at different imaging angles. The results also indicated that for pixel-level NDVI distributions, the titled imaging angle of 75° was optimal to distinguish different water treatments, whereas, the tilted imaging angle of 15° was optimal to distinguish different N treatments. For pixel-level RWC distributions, the distribution difference between different water treatments was larger at higher imaging angles.
关键词： Pixel-level NDVI and RWC distributions,Optimal imaging angle,Swing hyperspectral imaging system,Plant phenotyping system,Tilted imaging angle
更新于2025-09-23 15:22:29
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Simultaneous Fast Frequency Control and Power Oscillation Damping by Utilizing PV Solar System as PV-STATCOM
摘要： This paper presents a novel fast frequency response and power oscillation damping control by large-scale PV plants controlled as STATCOM, termed PV-STATCOM, to simultaneously enhance frequency regulation and small signal stability of power systems. Frequency deviations typically occur together with power oscillations in large power systems. The proposed controller comprises: i) Power Oscillation Damping (POD) controller based on reactive power modulation; and ii) Fast Frequency Response (FFR) controller based on real power modulation, both of which are applied to the plant level controller of PV-STATCOMs. The proposed composite control is shown to successfully reduce frequency deviations, damp power oscillations and provide voltage regulation both during over-frequency and under-frequency events. The proposed smart inverter control makes effective utilization of the PV inverter capacity and available solar power. For large power flows, the proposed control is shown to be superior than the conventional droop control recommended by North American Electric Reliability Corporation (NERC) for generating plants. Matlab/Simulink based simulations are conducted on two-area power system using generic PV plant dynamic models developed by Western Electricity Coordinating Council (WECC), for a wide range of system operating conditions. Such grid support functionality is expected to bring new revenue making opportunities for PV solar farms.
关键词： Power Oscillation Damping,Frequency control,Smart Inverters,Photovoltaic power plant
更新于2025-09-23 15:22:29
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[IEEE 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Paris, France (2018.10.14-2018.10.17)] 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Simulation Studies for a Multi-MW Hybrid Wind-Solar PV System for Desalination Plants
摘要： This paper presents a power system configuration and control schemes for a Multi-MW wind-solar hybrid system, which includes multiple wind turbines and solar panels to support a desalination plant. The wind and solar systems are sized such that the desalination plant obtains, as far as possible, its power from the renewable sources, to minimize the dependence on the utility grid. Each section of the wind turbine system includes a variable speed permanent magnet synchronous generator connected to the grid via a back-to-back voltage source converter. The rectifier operates the wind system at the maximum power point, and the inverter provides power to the desalination plant. The solar plant has multiple panels connected to the grid via a three phase converter, performing the dual functions of power transformation and maximum power point tracking. The modeling and validation of this system is performed with the PSCAD/EMTDC, a software typically employed for transient analysis.
关键词： hybrid system,PV system,Wind turbine,rectifier,inverter,desalination plant
更新于2025-09-23 15:22:29
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[ACM Press SIGGRAPH Asia 2017 Posters - Bangkok, Thailand (2017.11.27-2017.11.30)] SIGGRAPH Asia 2017 Posters on - SA '17 - 4D computed tomography measurement for growing plant animation
摘要： Detailed observation of plant growth is essential for botanical analysis and realistic animation design. This study introduces spatial-temporal measurement techniques for a growing plant using X-ray Computed Tomography (CT). We scanned a target plant using CT over the course of couple of days with fixed time intervals to obtain four-dimensional (4D) volumetric images. We present a technique to segment the obtained 4D-CT images semi-automatically. We provide a 4D-CT measurement of budding bean sprouts to illustrate the feasibility of it.
关键词： Plant Animation,4D Measurement,Segmentation,X-ray CT
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE Power & Energy Society General Meeting (PESGM) - Portland, OR, USA (2018.8.5-2018.8.10)] 2018 IEEE Power & Energy Society General Meeting (PESGM) - A Comparison Study of Dispatching Various Battery Technologies in a Hybrid PV and Wind Power Plant
摘要： This paper presents a comparison study for various types of battery technologies using selected BESS parameters in a hybrid PV and wind power plant taking the aging of the batteries into account. The optimization problem was reformulated as a Mixed Integer Linear Programming (MILP) problem, with the aim being to minimize the overall operating cost. IBM CPLEX was used to solve the problem. For forecasting, two techniques, i.e., the persistence and Elman Neural Network, were applied for both day-ahead and hour-ahead forecasting. Moreover, four case studies were performed, including the scenario without battery, day-ahead dispatch, day-ahead dispatch with a rolling horizon and hour-ahead dispatch. The simulation results showed that hour-ahead dispatch demonstrated the highest profitability. Furthermore, among different battery technologies, lithium-ion batteries resulted in the highest operating profits, whereas lead-acid batteries had the shortest payback period and vanadium redox flow batteries demonstrated the least degradation from cycling.
关键词： Battery Energy Storage System,Hybrid PV and Wind Power Plant,Battery Scheduling,Forecasting Errors
更新于2025-09-23 15:22:29
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Modification of AlphaLISA Excitation Wavelength Leads to Improved Assay Sensitivity for Photosynthetic Tissue Samples
摘要： For the purposes of high-throughput immunoassay screening, PerkinElmer’s AlphaLISA technology offers many benefits over traditional enzyme-linked immunosorbant assay (ELISA). However, its 680 nm excitation wavelength coincides with a wavelength of peak photosynthetic pigment absorbance, hindering the technology’s utility within the plant biotechnology industry. In assays containing photosynthetic matrices, it is proposed that excitation of chlorophyll leads to the production of singlet oxygen, which initiates a pigment-associated background signal, reducing assay sensitivity. A customized donor bead, modified for excitation outside the range of photosystem absorbance, was tested for its capacity to improve assay sensitivity with extracts containing photosynthetic pigments. In three assays designed against crystalline domain insecticidal protein targets, use of the customized donor bead along with its altered excitation wavelength led to the elimination of pigment-associated signal and improved separation between target-positive and null samples. Reduction in null photosynthetic extract signal led to a 16× sensitivity improvement in a quantitative assay. The customized donor bead was also found to be photostable under ambient laboratory lighting, potentially improving the overall utility of AlphaLISA technology. The customized donor bead enables sensitive, high-throughput immunoassay screening of photosynthetic tissues within the plant biotechnology industry using a convenient, photostable protocol.
关键词： homogenous,HTS,photosynthetic,Alpha,plant,high-throughput screening,automated biology
更新于2025-09-23 15:22:29
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Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms
摘要： The characterization of plant disease symptoms by hyperspectral imaging is often limited by the missing ability to investigate early, still invisible states. Automatically tracing the symptom position on the leaf back in time could be a promising approach to overcome this limitation. Therefore we present a method to spatially reference time series of close range hyperspectral images. Based on reference points, a robust method is presented to derive a suitable transformation model for each observation within a time series experiment. A non-linear 2D polynomial transformation model has been selected to cope with the specific structure and growth processes of wheat leaves. The potential of the method is outlined by an improved labeling procedure for very early symptoms and by extracting spectral characteristics of single symptoms represented by Vegetation Indices over time. The characteristics are extracted for brown rust and septoria tritici blotch on wheat, based on time series observations using a VISNIR (400–1000 nm) hyperspectral camera.
关键词： spectral tracking,time series,plant phenotyping,hyperspectral imaging,disease detection
更新于2025-09-23 15:22:29