Determining the Beginning of Potato Tuberization Period Using Plant Height Detected by Drone for Irrigation Purposes

Author:

Martins Sarah1ORCID,Lhissou Rachid1ORCID,Chokmani Karem1ORCID,Cambouris Athyna2

Affiliation:

1. Institut National de la Recherche Scientifique—INRS, Québec, QC G1K 9A9, Canada

2. Agriculture Agroalimentaire Canada—AAC, Québec, QC G1V 2J3, Canada

Abstract

Insolation and precipitation instability associated with climate change affects plant development patterns and water demand. The potato root system and soil properties lead to water vulnerability, impacting crop yield. Regarding potato physiology, plants stop growing when the root depth stabilizes, and then the tuberization period begins. Since this moment, water supply is required. Consequently, an approach based on plant physiology may enable farmers to detect the beginning of the irrigation period precisely. Remote sensing is a fast and precise method for obtaining surface information using non-invasive data collection. The database comprises root depth (RD) and plant height (H) data collected during 2019, 2020, and 2021. This research aims to develop a dynamic approach based on remote sensing and crop physiology to accurately determine the beginning of the tuberization period, called here the irrigation critical point (ICP). The results indicate a high correlation between RD and H (>0.85) which is independent of in-field soil and relief variations > 0.95). Further, plant growth rate corroborates the correlation results with decreasing patterns in time (R2 > 0.80), independent of environmental variations. In short, it was possible to determine the ICP based on the crop growth dynamics, independently of climate variations, field placement, or irrigation system.

Funder

Mitacs Accélération and Consortium de recherche sur la pomme de terre du Québec

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference50 articles.

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2. Recent Advances in Crop Water Stress Detection;Ihuoma;Comput. Electron. Agric.,2017

3. Gerhards, M., Schlerf, M., Mallick, K., and Udelhoven, T. (2019). Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review. Remote Sens., 11.

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