Research on Drought Stress Monitoring of Winter Wheat during Critical Growth Stages Based on Improved DenseNet-121

Author:

Yao Jianbin1ORCID,Wu Yushu1,Liu Jianhua1,Wang Hansheng1

Affiliation:

1. School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450003, China

Abstract

Drought stress has serious effects on the growth and yield of wheat in both productivity and quality and is an abiotic factor. Traditional methods of crop drought stress monitoring have some deficits. This work has been conducted in order to enhance these conventional methods by proposing a new deep learning approach. This paper has presented a deep learning-based model customized for monitoring drought stress in winter wheat during the critical growth stages. Drought-afflicted winter wheat images were captured at three crucial phases: rising–jointing, heading–flowering, and flowering–maturity. These images are correlated against soil moisture data to construct a comprehensive dataset. DenseNet121 was chosen as the network model since it extracts features from images relating to phenotypes. Several factors, like training methods, learning rate adjustment, and addition of the attention mechanism, are optimized in eight sets of experiments. This provided the final DenseNet-121 model with an average recognition accuracy of 94.67% on the test set, which means that monitoring drought stress during wheat growth’s key periods is feasible and effective.

Funder

Major Science and Technology Projects of the Ministry of Water Resources

Projects of Open Cooperation of Henan Academy of Sciences

Key Scientific Research Projects of Henan Higher Education Institutions

North China University of Water Conservancy and Electric Power High-level experts Scientific Research foundation

Publisher

MDPI AG

Reference25 articles.

1. Biosynthesis and characterization of titanium dioxide nanoparticles and its effects along with calcium phosphate on physicochemical attributes of wheat under drought stress;Mustafa;Ecotoxicol. Environ. Saf.,2021

2. Risk zoning of drought damage for spring maize in northwestern Liaoning;Cao;J. Nat. Resour.,2021

3. Effects of Drought Stress on Morphophysiological Traits, Biochemical Characteristics, Yield, and Yield Components in Different Ploidy Wheat: A Meta Analysis;Wang;Adv. Agron.,2017

4. Comparison of Drought Probability Assessments Based on Atmospheric Water Deficit and Soil Water Deficit;Torres;Agron. J.,2013

5. Plant phenomics: Development, current situation and challenges;Zhou;J. Nanjing Agric. Univ.,2018

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