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Platform / ToolTechnology TypeTarget Phenotypic TraitsKey Publication / SourcePaper / Official Source URL
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AgETL PipelineOpen-Source Python PackageMulti-experiment data aggregation & central database loadingVargas-Rojas et al. (2024)https://doi.org/10.3389/fpls.2024.1265073
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AgTC (Template Creator)Open-Source Python PackageCustom standardized templates for agronomic data collectionVargas-Rojas et al. (2024)https://doi.org/10.3389/fpls.2024.1265073
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Arduino Leaf SensorArduino + Carbon SensorLeaf apoplastic pH changes after wounding responseMcGee et al. (2025)https://doi.org/10.1002/ppj2.70020
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Backpack LiDAR system/CropQuant-3DGround LiDAR acquisition platform3D wheat structure and architectural variationZhu et al. (2021)https://doi.org/10.1093/plphys/kiab324
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BIMSBreeding Information Management SystemBreeding observations, trials, and germplasm informationJung et al. (2021)https://doi.org/10.1093/database/baab054
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BreedbaseBreeding database ecosystemPhenotypic, genotypic, trial, image, and spectral data managementMorales et al. (2022)https://doi.org/10.1093/g3journal/jkac078
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BTI mobile low-cost imaging systemMobile controlled-environment imaging platformImage-based plant growth phenotypingYu et al. (2024)https://doi.org/10.1093/plphys/kiae237
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Cho-Yang low-cost camera networkIoT camera networkAutomated indoor plant imagingCho & Yang (2023)https://doi.org/10.3390/agriculture13101874
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CornPheno / UNICORNSmartphone (PET Model + Algorithm)Corn ear kernel count, rows per ear, kernels per rowLi et al. (2025)https://doi.org/10.1016/j.plaphe.2025.100129
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CropSightDistributed phenotyping information systemImage/sensor capture, organization, monitoring, and managementReynolds et al. (2019)https://doi.org/10.1093/gigascience/giz009
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DON Hyperspectral ImagingClose-range HSI + 1D-CNNDeoxynivalenol (DON) content in wheat flourSaini et al. (2024)https://doi.org/10.1002/ppj2.70001
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EnRootLow-cost, partly 3D-printable minirhizotronFine-root production imagingArnaud et al. (2019)https://doi.org/10.1186/s13007-019-0489-6
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FHB Wheat Severity IndexDeep Learning + Spectral IndexDifferentiate healthy wheat heads from infected tissuesMcConachie (2024)https://doi.org/10.1002/ppj2.20103
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Field Book (PhenoApps)Android App (Mobile Tablet/Phone)Electronic field data collection & pedigree trackingRife & Poland (2014)https://doi.org/10.2135/cropsci2013.08.0579
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FLIR OneSmartphone thermal cameraPlant or fruit surface temperature and stress/sunburn susceptibilityWang et al. (2020)https://doi.org/10.3390/s20030608
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FT-MIR Spectroscopy (Fiber)FT-MIR SpectroscopyDietary fiber analysis in pea, chickpea, and lentilMadurapperumage (2025)https://doi.org/10.1002/ppj2.70022
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FT-MIR Spectroscopy (Starch)FT-MIR SpectroscopyTotal & resistant starch fractions in pulse flourJohnson et al. (2023)https://doi.org/10.1002/ppj2.20086
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GPR cassava/wheat systemsGround-penetrating radarRoot biomass and root architectureAgbona et al. (2021); Delgado et al. (2019)https://doi.org/10.3390/rs13234908; https://doi.org/10.3390/geosciences9040171
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GPR conifer-root systemGround-penetrating radarIntraspecific variability in conifer root traitsLombardi et al. (2021)https://doi.org/10.1007/s11104-021-05135-0
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GridScoreCross-platform field phenotyping applicationGeoreferenced observations, images, scoring progress, and visualizationRaubach et al. (2022)https://doi.org/10.1186/s12859-022-04755-2
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ImageBreedImage-phenotyping web databaseImage storage, processing, and image-derived phenotypesMorales et al. (2020)https://doi.org/10.1002/ppj2.20004
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Intel D415 Depth CameraStereo Depth Camera (307K pts)3D canopy surface model & canopy height in wheat/soybeanMorrison et al. (2021)https://doi.org/10.1002/ppj2.20019
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Landsat 9Public satellite remote-sensing platformMultispectral and thermal imageryNASA Landsat 9 sourcehttps://landsat.gsfc.nasa.gov/satellites/landsat-9/landsat-9-overview/
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Low-Cost Rice BiomassRGB Camera + Deep LearningGreenhouse rice above-ground biomass from leaf area metricsNakajima et al. (2025)https://doi.org/10.1016/j.atech.2025.100998
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Low-field MRI rhizotronBelowground MRI imaging systemIn-field 3D energy-sorghum root architectureBagnall et al. (2022)https://doi.org/10.1002/ppj2.20038
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MATS (Morphometrics)Smartphone CV / StreamlitScanner-grade orthogonal projection & calibration from photosBreeding Insight / USDAhttps://breedinginsight.org/
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MIAPPE 1.1Phenotyping metadata standardStandardized and reusable experiment metadataPapoutsoglou et al. (2020)https://doi.org/10.1111/nph.16544
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OpenDroneMapOpen-source photogrammetry engineOrthomosaics, point clouds, and elevation modelsVacca (2020); Gbagir et al. (2023)https://doi.org/10.3390/geographies3030023
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OpenPheno (Seed, Tomato, etc.)Smartphone (WeChat Mini-Program)Seed size/count, tomato count, canopy green ratioHu et al. (2025)https://doi.org/10.1186/s13007-025-01395-4
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Pechlivani low-cost hyperspectral devicePortable hyperspectral imagerUp to 290 bands, 379-937 nm; hyperspectral image cubesPechlivani et al. (2023)https://doi.org/10.3390/instruments7040032
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PhenoBookPhenotypic-data collection systemField observations, photos, GPS, time, and experiment metadataCrescente et al. (2017)https://doi.org/10.1093/gigascience/giw019
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PhytoOracleScalable phenomics-analysis pipelineCanopy area, temperature, PSII fluorescence, height, and 3D outputsGonzalez et al. (2023)https://doi.org/10.3389/fpls.2023.1112973
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Pi Abiotic Photo StudioRaspberry Pi + Camera + PlantCVMaize abiotic stress tracking (size, height, width, color)Duenwald et al. (2025)https://dx.doi.org/10.3791/67619
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Pi Microclimate MonitorRaspberry Pi + TEMPer2 ProbesGrowth chamber temperature mapping & sensor calibrationBallenger et al. (2025)https://doi.org/10.1002/aps3.70022
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Plant Phenomics 3D Print RepositoryPhenotyping design repositoryOpen 3D-printable phenotyping partsGriffiths (2020)https://doi.org/10.34133/2020/8640215
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PlantCV v4Open-Source Python LibraryMorphology (length, angle, area) of leaves & stemsSchuhl et al. (2026)https://doi.org/10.1002/ppj2.70065
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Pleiades Neo 3-4High-resolution satellite platformSub-meter agricultural imagery and crop/yield-prediction inputsPinto et al. (2023)https://doi.org/10.3389/fpls.2023.1114670
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PlotCam Proximal PlatformHandheld Multi-Sensor RigHandheld proximal RGB, canopy height & infrared imagingMorrison et al. (2023)https://doi.org/10.3389/fphy.2023.1101274
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PocketMaizeAndroid phenotyping application45 maize plant, leaf, and stem traitsLiu et al. (2021)https://doi.org/10.3389/fpls.2021.770217
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ProspectorAndroid portable-NIR collection applicationSpectral scans, visualization, organization, and exportRife et al. (2021)https://doi.org/10.1002/ppj2.20024
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Purdue D2S / AWSCloud Geospatial PlatformHigh-throughput geospatial imagery & phenomicsPurdue / AWS Open Datahttps://d2s.org/
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PYMRaspberry Pi image-based phenotyping methodPlant leaf area across diverse environmentsValle et al. (2017)https://doi.org/10.1186/s13007-017-0248-5
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PySpectrometer2DIY spectrometerLow-cost spectral acquisitionPySpectrometer2 GitHub repositoryhttps://github.com/leswright1977/PySpectrometer2
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QGIS Drone WorkflowQGIS Open-Source SoftwareDrone imagery plant classification & plot segmentationKillian et al. (2025)https://doi.org/10.1002/ppj2.70030
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Raspberry PiSingle-board computer / IoT mainboardCamera control, sensor integration, and image-based phenotypingTovar et al. (2018); Singh et al. (2023)https://doi.org/10.1002/aps3.1031; https://doi.org/10.1109/WHISPERS61460.2023.10430815
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RhizoVision ExplorerOpen-Source Root SoftwareRoot length, diameter, volume, and depthSeethepalli et al. (2021)https://doi.org/10.1093/aobpla/plab056
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Sangjan IoT camera systemIn-field IoT camera networkTime-series crop monitoringSangjan et al. (2022)https://doi.org/10.22541/au.166758437.70063358/v1
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SkySat 16-21High-resolution satellite constellationPlot imagery and crop/yield-prediction inputsPinto et al. (2023); Sangjan et al. (2024)https://doi.org/10.3389/fpls.2023.1114670; https://doi.org/10.1080/01431161.2024.2313997
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Spinach RGB-LiDARiPhone 14 Pro Max LiDAR + RGBLeaf total reduced nitrogen & shoot dry biomassHarikumar et al. (2025)https://doi.org/10.3389/fpls.2025.1592329
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Hyperspectral SmartphoneSmartphone hyperspectral imagerVisible-range hyperspectral imageryStuart et al. (2021)https://doi.org/10.3390/jimaging7080136
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Sweet Potato AI (RGB)Smartphone App + Cloud AISweet potato count, size, and weight in-fieldNguyen et al. (2025)https://doi.org/10.1002/ppj2.70026
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Sweet Potato SkinningResNet50 / DeepLabV3+Automated sweet potato skinning detection & gradingBloom et al. (2025)https://doi.org/10.1002/ppj2.70023
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The Height PoleSingle-Point LiDAR + Android AppCanopy & plot height measurements in the field (<$500)Morrison et al. (2024)https://doi.org/10.1002/ppj2.20097
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TraitTrackiOS-compatible smartphone applicationEnables near real-time synchronization of data collection across teamsMankar et al. (2026)https://apps.apple.com/us/app/traittrack/id6798378635.
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waves R analysis toolOpen-source R spectral-analysis packageNIR preprocessing, calibration, validation, and trait predictionHershberger et al. (2021)https://doi.org/10.1002/ppj2.20012
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WebODMOpen-Source PhotogrammetryDrone imagery mapping (orthomosaics, 3D point clouds)WebODM.orghttps://webodm.org/
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Whyte SNF droneUAV + Random Forest MLSymbiotic nitrogen fixation (SNF) in common beanWhyte et al. (2025)https://doi.org/10.1002/ppj2.70031
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Zero-Shot Insect DetectorVision-Language ModelHigh-throughput insect detection and annotatingFeuer et al. (2024)https://doi.org/10.1002/ppj2.20107
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