Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz)

A strategy to characterize chlorophyll protein interaction in LIL3

(2019) Astrid Elisabeth Mork-Jansson et al.   Plant Methods

Review: New sensors and data-driven approaches—A path to next generation phenomics

(2019) Thomas Roitsch et al.   PLANT SCIENCE

Multispectral imaging and unmanned aerial systems for cotton plant phenotyping

(2019) Rui Xu et al.   PLoS One

Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras

(2019) Haiyan Cen et al.   Plant Methods

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

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

(2019) Robert T. Furbank et al.   NEW PHYTOLOGIST

Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea (Pisum sativum, L.)

(2019) Juan José Quirós Vargas et al.   SENSORS

High-Throughput Phenotyping Enabled Genetic Dissection of Crop Lodging in Wheat

(2019) Daljit Singh et al.   Frontiers in Plant Science

High-Throughput Field Imaging and Basic Image Analysis in a Wheat Breeding Programme

(2019) James Walter et al.   Frontiers in Plant Science

Early prediction models for cassava root yield in different water regimes

(2019) Alison Borges Vitor et al.   FIELD CROPS RESEARCH

Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data

(2019) Gómez et al.   Remote Sensing

Crop Phenomics: Current Status and Perspectives

(2019) Chunjiang Zhao et al.   Frontiers in Plant Science

Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

(2019) Adnan Zahid et al.   Plant Methods

A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta)

(2019) Michael Gomez Selvaraj et al.   Plant Methods

Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery

(2019) Jiating Li et al.   Plant Methods

Mapping sub-field maize yields in Nebraska, USA by combining remote sensing imagery, crop simulation models, and machine learning

(2019) Graham R. Jeffries et al.   PRECISION AGRICULTURE

Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images

(2019) John Atanbori et al.   Frontiers in Plant Science

Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods

(2019) Elisa Kamir et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

(2018) Anna Chlingaryan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The ‘PhenoBox’, a flexible, automated, open-source plant phenotyping solution

(2018) Angelika Czedik-Eysenberg et al.   NEW PHYTOLOGIST

Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development

(2018) Sanaz Shafian et al.   PLoS One

Onion biomass monitoring using UAV-based RGB imaging

(2018) Rocio Ballesteros et al.   PRECISION AGRICULTURE

Time-Series Multispectral Indices from Unmanned Aerial Vehicle Imagery Reveal Senescence Rate in Bread Wheat

(2018) Muhammad Hassan et al.   Remote Sensing

  Ground cover and leaf area index relationship in a grass, legume and crucifer crop

(2018) J. Ramirez-Garcia et al.   PLANT SOIL AND ENVIRONMENT

Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

(2018) Koushik Nagasubramanian et al.   Plant Methods

A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform

(2018) Muhammad Adeel Hassan et al.   PLANT SCIENCE

Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery

(2017) X. Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants

(2017) Massimo Minervini et al.   PLANT JOURNAL

Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard

(2017) Jorge Gago et al.   Plant Methods

Ground penetrating radar: a case study for estimating root bulking rate in cassava (Manihot esculenta Crantz)

(2017) Alfredo Delgado et al.   Plant Methods

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

(2017) Hsiang Sing Naik et al.   Plant Methods

Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery

(2017) Xiuliang Jin et al.   REMOTE SENSING OF ENVIRONMENT

Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production

(2017) Marston Domingues Franceschini et al.   SENSORS

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

(2017) Jinru Xue et al.   Journal of Sensors

Accurate prediction of sugarcane yield using a random forest algorithm

(2016) Yvette Everingham et al.   Agronomy for Sustainable Development

Wheat yield prediction using machine learning and advanced sensing techniques

(2016) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prospects of photosynthetic research for increasing agricultural productivity, with emphasis on the tropical C4 Amaranthus and the cassava C3-C4 crops

(2016) M. A. El-Sharkawy   PHOTOSYNTHETICA

Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries

(2016) Atena Haghighattalab et al.   Plant Methods

Comparison of Canopy Volume Measurements of Scattered Eucalypt Farm Trees Derived from High Spatial Resolution Imagery and LiDAR

(2016) Niva Verma et al.   Remote Sensing

Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery

(2016) Michael Schirrmann et al.   Remote Sensing

Cassava Breeding I: The Value of Breeding Value

(2016) Hernán Ceballos et al.   Frontiers in Plant Science

UAVs challenge to assess water stress for sustainable agriculture

(2015) J. Gago et al.   AGRICULTURAL WATER MANAGEMENT

Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

(2015) Sindhuja Sankaran et al.   EUROPEAN JOURNAL OF AGRONOMY

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

(2015) Helge Aasen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

(2015) M Zaman-Allah et al.   Plant Methods

Future Scenarios for Plant Phenotyping

(2013) Fabio Fiorani et al.   Annual Review of Plant Biology

Estimating nitrogen status of rice using the image segmentation of G-R thresholding method

(2013) Yuan Wang et al.   FIELD CROPS RESEARCH

Field high-throughput phenotyping: the new crop breeding frontier

(2013) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

Phenotypic approaches to drought in cassava: review

(2013) Emmanuel Okogbenin et al.   Frontiers in Physiology