Automatic Detection of Water Stress in Corn Using Image Processing and Deep Learning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Water stress is one of the main environmental constraints that directly disrupts agriculture and global food supply, thus early and accurate detection of water stress is necessary in order to maintain high agricultural productivity. Using an image dataset collected during a dedicated experiment, we propose a new method for water stress level classification using deep learning and digital images only. Classification is performed in two stages, using a Convolutional Neural Network for spatial feature extraction and a Long Short-Term Memory for temporal features extraction. Outperforming all other methods examined, our model is able to classify five different levels of water stress with 91.7% accuracy and Mean Absolute Error of 0.1, and to detect changes in water stress levels during the day.

Original languageEnglish
Title of host publicationCyber Security Cryptography and Machine Learning - 5th International Symposium, CSCML 2021, Proceedings
EditorsShlomi Dolev, Oded Margalit, Benny Pinkas, Alexander Schwarzmann
PublisherSpringer Science and Business Media Deutschland GmbH
Pages104-113
Number of pages10
ISBN (Print)9783030780852
DOIs
StatePublished - 1 Jan 2021
Event5th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2021 - Be'er Sheva, Israel
Duration: 8 Jul 20219 Jul 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12716 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2021
Country/TerritoryIsrael
CityBe'er Sheva
Period8/07/219/07/21

Keywords

  • Convolutional Neural Network
  • Hierarchical classification
  • Long short Term Memory
  • Water stress

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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