Assessing Phytotoxicity in Lentils (Lens culinaris) Using Hyperspectral UAV Imagery
Date
2021-03-16
Authors
Zoerb, Brianna
Shirtliffe, Steve
Singh, Keshav
Johnson, Eric
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ORCID
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Conference Presentation
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Abstract
Weed control is of great importance in the successful management of lentil due to its poor competitive ability and short stature. With a lack of effective herbicides and an increase in herbicide resistant weeds; weed control is becoming even more challenging to lentil producers. Field ratings to assess herbicide safety and phytotoxicity in crops can be a tedious and bias associated process. The objective of this research is to determine if phenotyping crop phytotoxicity is possible using UAV imagery. A two-factor randomized complete block design was conducted at two locations in Saskatchewan, Canada in 2019. The factors lentil variety (CDC Greenstar, CDC Maxim, CDC Impala and CDC Improve) and herbicide rates- including the recommended dose and up to ten times the recommended dose of both saflufenacil and metribuzin herbicides. Unmanned aerial vehicle hyperspectral imagery was captured 6, 16 and 23 days after the application of metribuzin in accordance with visual ratings for phytotoxicity. Increasing herbicide dose decreased both field measures of above-ground biomass and plant stand counts. The greatest spectral variation in reflectance was present for metribuzin versus the saflufenacil herbicide. The spectra were noted to differ especially in the green peak, red-edge, and near infrared regions. Further work is being done to analyze imagery data from 2020 to determine if appropriate vegetative indices can be produced to classify different levels of herbicide tolerance. The end goal of this work is to contribute to improving herbicide screening technology with the ability to assess crop phytotoxicity autonomously via computer algorithms. Link to Video Presentation: https://youtu.be/8H7sm-DUkiI
Description
Keywords
Weed Control, Lentil, UAV Imagery