Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 11/1/2001
Publication Date: 11/1/2001
Citation: Yang, Y., Vantoai, T.T., Ling, P., Karica, M., Roberts, V.S., Hua, D. 2001. Monitoring soybean's tolerance to flood stress using image processing technique. Agronomy Abstracts. Interpretive Summary:
Technical Abstract: Flooding is a common environmental stress that suppresses plant growth. This study was conducted to test the use of machine vision extracted plant features for early, non-contact, and quantitative detection of flooding stress. Top projected canopy area (TPCA) of soybean plants during the two-week flooding and one-week recovery period was obtained by an image processing technique. Flooding stress induced plant movement determined by TPCA was decoupled from plant diurnal movement and plant growth using coefficient of variation of TPCA (COVTPCA). Threshold value of COVTPCA as an indicator of flooding stress was determined by a parametric approach. The effectiveness of the sensing technique for early, quantitative detection of stress was compared with the leaf photosynthetic rate and leaf color. The results indicated that early, non-contact, quantitative detection of flooding stress by TPCA was feasible.