Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean

Plant Methods
Monica Herrero-HuertaKaty M Rainey

Abstract

Nowadays, automated phenotyping of plants is essential for precise and cost-effective improvement in the efficiency of crop genetics. In recent years, machine learning (ML) techniques have shown great success in the classification and modelling of crop parameters. In this research, we consider the capability of ML to perform grain yield prediction in soybeans by combining data from different optical sensors via RF (Random Forest) and XGBoost (eXtreme Gradient Boosting). During the 2018 growing season, a panel of 382 soybean recombinant inbred lines were evaluated in a yield trial at the Agronomy Center for Research and Education (ACRE) in West Lafayette (Indiana, USA). Images were acquired by the Parrot Sequoia Multispectral Sensor and the S.O.D.A. compact digital camera on board a senseFly eBee UAS (Unnamed Aircraft System) solution at R4 and early R5 growth stages. Next, a standard photogrammetric pipeline was carried out by SfM (Structure from Motion). Multispectral imagery serves to analyse the spectral response of the soybean end-member in 2D. In addition, RGB images were used to reconstruct the study area in 3D, evaluating the physiological growth dynamics per plot via height variations and crop volume estimations. As gro...Continue Reading

References

Nov 15, 2011·Trends in Plant Science·Robert T Furbank, Mark Tester
Jan 11, 2014·Frontiers in Neurorobotics·Alexey Natekin, Alois Knoll
Aug 23, 2017·IEEE Transactions on Neural Networks and Learning Systems·Salman H KhanRoberto Togneri
Mar 21, 2018·Trends in Plant Science·José Luis ArausJill E Cairns
Apr 25, 2018·PloS One·Mónica Herrero-HuertaPablo Rodríguez-Gonzálvez
Aug 9, 2018·Plant Methods·Sarah Taghavi NaminJustin O Borevitz

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Citations

Jul 28, 2020·The Plant Journal : for Cell and Molecular Biology·Dae Kwan Ko, Federica Brandizzi
Feb 3, 2021·Scientific Reports·Alessandro Matese, Salvatore Filippo Di Gennaro
Feb 13, 2021·Plant Phenomics : a Science Partner Journal·Monica Herrero-HuertaKaty M Rainey
Nov 23, 2021·Frontiers in Plant Science·Qiyu Zhou, Douglas J Soldat

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Software Mentioned

QGIS
GDAL
Real
GESAVI
senseFly
Python
Open Source Computer Vision Library
Time Kinematic ( RTK
Anaconda Prompt
scikit

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