SMO构建WIWAM XY高通量植物表型成像平台

WIWAM植物表型成像系统由比利时SMO公司与GHent大学VIB研究所研制生产，整合了LED植物只能培养、自动化控制系统、叶绿素荧光成像测量分析、植物热成像分析、植物近红外成像分析、植物高光谱分析、植物多光谱分析、植物CT断层扫描分析、自动条码识别管理、RGB真3D成像等多项先进技术，以优化的方式实现大量植物样品以优化的方式实现大量植物样品——从拟南芥、水稻、玉米到各种其它植物的生理生态与形态结构成像分析，用于高通量植物表型成像分析测量、植物胁迫响应成像分析测量、植物生长分析测量、生态毒理学研究、性状识别及植物生理生态分析研究等。

利用WIWAM多光谱激光雷达模块发表的部分文章

1、Phenoty** wheat under salt stress conditions using a 3D laser scanner

2、Precision phenoty** and association between morphological traits and nutritional content in Vegetable Amaranth (Amaranthus spp.)

3、High-throughput phenoty** of maize growth dynamics under nitrogen and water stress

4、Evaluation of phosphate rock as the only source of phosphorus for the growth of tall and semi-dwarf durum wheat and rye plants using digital phenoty**

5、High-throughput phenoty** platform for analyzing drought tolerance in rice

6、Comparison of a 3D and multispectral imaging phenoty** platform with a whole plant gas exchange analysis prototype-platform to unravel mechanisms of action of …

7、Comparison of a 3D and multispectral imaging phenoty** platform with a whole plant gas exchange analysis prototype-platform to unravel mechanisms of action of …

8、Development of an automated high-throughput phenoty** system for wheat evaluation in a controlled environment

9、Digital whole-community phenoty** to assess morphological and physiological features of plant communities in the field

10、Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat

11、Digital whole-community phenoty**: tracking morphological and physiological responses of plant communities to environmental changes in the field

12、Greenhouse Phenoty** Measurement Techniques and Systems: A Review

13、Image-based, organ-level plant phenoty** for wheat improvement

14、

EasyDCP: An affordable, high‐throughput tool to measure plant phenotypic traits in 3D

15、 ACCURACY ASSESSMENT OF Syringa vulgaris L. MORPHOLOGICAL PHENOTYPING WITH A LASER 3D SCANNER PlantEye F500 DEPENDING ON …

16、Journal of Agriculture and Food Research

17、Plant phenomics: fundamental bases, software and hardware platforms, and machine learning

18、Precision Phenoty** of Wild Rocket (Diplotaxis tenuifolia) to Determine Morpho-Physiological Responses under Increasing Drought Stress Levels Using the …

19、Protein hydrolysates enhance recovery from drought stress in tomato plants: phenomic and metabolomic insights

20、3D laser triangulation for plant phenoty** in challenging environments

21、Systematic approach to validate and implement digital phenoty** tool for soybean: A case study with PlantEye

22、High-throughput plant phenoty** platform (HT3P) as a novel tool for estimating agronomic traits from the lab to the field

23、Precision phenoty** of agro-physiological responses and water use of sorghum under different drought scenarios

JCR:Q3IF:1.50 Citations:1324

24、Phenotiki: An open software and hardware platform for affordable and easy image‐based phenoty** of rosette‐shaped plants

25、Investigating the utility of potato (Solanum tuberosum L.) canopy temperature and leaf greenness responses to water-restriction for the improvement of …

26、Plant phenoty** and phenomics for plant breeding

27、Exploring the Use of Bacillus Subtilis to Improve the Growth of Phaseolus Vulgaris under Saline Conditions

28、Plant Phenomics: The Force Behind Tomorrow's Crop Phenoty** Tools

29、A comprehensive review of high throughput phenoty** and machine learning for plant stress phenoty**

30、MultipleXLab: A high-throughput portable live-imaging root phenoty** platform using deep learning and computer vision

31、 3D laser triangulation, a simple and robust method for automated growth determination of crop plants in challenging environments

32、Artificial Intelligence-Aided Phenomics in High-Throughput Stress Phenoty** of Plants

33、Application of Phenoty** Methods in Detection of Drought and Salinity Stress in Basil (Ocimum basilicum L.)

34、The World Vegetable Center Okra (Abelmoschus esculentus) Core Collection as a Source for Flooding Stress Tolerance Traits for Breeding

35、Large-scale field phenoty** using backpack LiDAR and CropQuant-3D to measure structural variation in wheat

36、High-throughput phenoty**: a platform to accelerate crop improvement

37、Non-invasive plant growth measurements for detection of blue-light dose response of stem elongation in Chrysanthemum morifolium

38、The added value of 3D point clouds for digital plant phenoty**–A case study on internode length measurements in cucumber

39、Using plant phenomics to exploit the gains of genomics

40、Development of automated high-throughput phenoty** system for controlled environment studies

42、Affordable imaging lab for noninvasive analysis of biomass and early vigour in cereal crops

43、Image-based high-throughput phenoty** in horticultural crops

44、 High-Throughput Crop Phenoty**

45、High-throughput phenoty**

46、CropSight: a scalable and open-source information management system for distributed plant phenoty** and IoT-based crop management

47、Implementing Digital Multispectral 3D Scanning Technology for Rapid Assessment of Hemp (Cannabis sativa L.) Weed Competitive Traits

48、An approach to detect branches and seedpods based on 3D image in low-cost plant phenoty** platform

49、High-throughput phenoty**: potential tool for genomics

50、Hyperspectral remote sensing for phenoty** the physiological drought response of common and tepary bean

51、Quantitative and comparative analysis of whole-plant performance for functional physiological traits phenoty**: new tools to support pre-breeding and plant stress …

52、High-throughput phenoty**: The latest research tool for sustainable crop production under global climate change scenarios

53、Using High-Throughput Phenoty** Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance

54、Functional phenomics for improved climate resilience in Nordic agriculture

55、LeasyScan: a novel concept combining 3D imaging and lysimetry for high-throughput phenoty** of traits controlling plant water budget

56、An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenoty** data

57、Unleashing the potentials of high-throughput phenoty** for accelerating crop breeding

58、Basic principles and main applications of plant phenomics.

59、Study of high-temperature-induced morphological and physiological changes in potato using nondestructive plant phenoty**

60、Phenotyping

61、Multi-scale time series analysis of evapotranspiration for high-throughput phenoty** frequency optimization

62、Got All the Answers! What Were the Questions? Avoiding the Risk of “Phenomics” Slip** into a Technology Spree

63、High-throughput phenoty** for crop improvement in the genomics era

64、SpaTemHTP: a data analysis pipeline for efficient processing and utilization of temporal high-throughput phenoty** data

65、3D robotic system development for high-throughput crop phenoty**

66、Large-scale field phenoty** using backpack LiDAR and GUI-based CropQuant-3D to measure structural responses to different nitrogen treatments in wheat

67、Development of a low-cost automated greenhouse imaging system with machine learning-based processing for evaluating genetic performance of drought …

68、Pitfalls and potential of high-throughput plant phenoty** platforms

69、A Low-Cost Depth Imaging Mobile Platform for Canola Phenoty**

70、DEVELOPMENT OF A FIELD-BASED MOBILE PLATFORM FOR PLANT PHENOTYPING

71、REVOLUTIONIZING CROP PHENOTYPING: BREAKTHROUGHS IN HIGH-THROUGHPUT METHODS AND THEIR MULTIFACETED IMPLEMENTATIONS

72、Field phenoty** for African crops: overview and perspectives

73、Plant phenomics:: history, present status and challenges

74、Realizing the potential of plant genetic resources: the use of phenomics for genebanks

75、Crop breeding for a changing climate in the Pannonian region: towards integration of modern phenoty** tools

76、A Review of Three-Dimensional Multispectral Imaging in Plant Phenoty**

77、New sensors and data-driven approaches—A path to next generation phenomics

JCR:Q1IF:20.50 Citations:32959 中科院:生物学1区

78、KAT4IA: K-means assisted training for image analysis of field-grown plant phenotypes

79、LIDAR-based phenoty** for drought response and drought tolerance in potato

80、LiDARPheno–A low-cost LiDAR-based 3D scanning system for leaf morphological trait extraction

81、Development of a Quick-Install Rapid Phenoty** System

82、Multispectral image analysis detects differences in drought responses in novel seeded Miscanthus sinensis hybrids

83、Remote sensing and advanced plant phenoty** handbook

84、Sensing technologies for precision phenoty** in vegetable crops: current status and future challenges

85、Determination of basil morphological parameters by multispectral analyses

86、5 Recent Advances in Plant Phenomics and Speed Breeding for Climate-Smart Agriculture

87、 CropQuant: An automated and scalable field phenoty** platform for crop 1 monitoring and trait measurements to facilitate breeding and digital agriculture 2

88、Classification of high-throughput phenoty** data for differentiation among nutrient deficiency in common bean

89、Monitoring drought stress in common bean using chlorophyll fluorescence and multispectral imaging

90、Phenoty** of basil (Ocimum basilicum L.) illuminated with UV-A light of different wavelengths and intensities

91、Development of a quick-install rapid phenoty** system

92、An automatable, field camera track system for phenoty** crop lodging and crop movement

93、 A step towards inter-operable Unmanned Aerial Vehicles (UAV) based phenoty**; A case study demonstrating a rapid, quantitative approach to standardize …

94、Sustainable production of greenhouse ornamentals using plant growth-promoting bacteria

95、High-throughput phenoty** reveals a link between transpiration efficiency and transpiration restriction under high evaporative demand and new loci controlling …

96、The ETH field phenoty** platform FIP: a cable-suspended multi-sensor system

97、Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks

98、Applications and trends of machine learning in genomics and phenomics for next-generation breeding

99、Hyperspectral and 3D imaging for disease detection in seed potatoes

100、Simultaneous prediction of wheat yield and grain protein content using multitask deep learning from time-series proximal sensing