Detecting Drought Stress in Soybean Plants Using Hyperspectral Fluorescence Imaging

Abstract

Purpose: Soybean growth is adversely affected by environmental stresses such as drought, extreme temperatures, and nutrient deficiency. The objective of this study was to develop a method for rapid measurement of drought stress in soybean plants using a hyperspectral fluorescence imaging technique. Methods: Hyperspectral fluorescence images were obtained using UV-A light with 365 nm excitation. Two soybean cultivars under drought stress were analyzed. A partial least square regression (PLSR) model was used to predict drought stress in soybeans. Results: Partial least square (PLS) images were obtained for the two soybean cultivars using the results of the developed model during the period of drought stress treatment. Analysis of the PLS images showed that the accuracy of drought stress discrimination in the two cultivars was 0.973 for an 8-day treatment group and 0.969 for a 6-day treatment group. Conclusions: These results validate the use of hyperspectral fluorescence images for assessing drought stress in soybeans.

Estimating Moisture Content of Cucumber Seedling Using Hyperspectral Imagery

“…The reflectance spectrum decreased in three trays, which was due to water stress. The same results were found by Mo et al (2015), namely, that reflectance spectrum decreased with increasing water stress. Figure 4(c) shows the reflectance spectrum of the seedlings measured after the 2 nd irrigation of day 2.…”

Exogenous melatonin reduces the inhibitory effect of osmotic stress on photosynthesis in soybean

“…Photosynthetic organs, especially PSII, are sensitive to water stress [15–16]. ChlF emission changes, which are mainly caused by PSII, provide information concerning almost all aspects of photosynthesis [17–18] and reflect a plant’s tolerance to environmental stresses, including drought. Fluorescence parameters have been used to identify leaf damage in the absence of obvious symptoms [18], and ChlF is often used as a potential index of environmental stress and a screening method for disease-resistant plants [19].…”

“…ChlF emission changes, which are mainly caused by PSII, provide information concerning almost all aspects of photosynthesis [17–18] and reflect a plant’s tolerance to environmental stresses, including drought. Fluorescence parameters have been used to identify leaf damage in the absence of obvious symptoms [18], and ChlF is often used as a potential index of environmental stress and a screening method for disease-resistant plants [19]. Fluorescence efficiency can be described by the optimal/maximal quantum yield (Fv/Fm), nonphotochemical quenching (NPQ), electron transport rate (ETR) and actual photochemical quantum yield (Φ PSII ) [20].…”

Detection of cucumber green mottle mosaic virus-infected watermelon seeds using a near-infrared (NIR) hyperspectral imaging system: Application to seeds of the “Sambok Honey” cultivar

“…In agricultural applications, hyperspectral imaging was intensively exploited for the detection of fecal contamination, bruise, crack, and damage and for prediction of protein, sugar, fat, and moisture contents in agricultural products (Joshi, Mo, Lee, Lee, & Cho, 2015;Xiong, Sun, Zeng, & Xie, 2014). Also, there are a few notable studies which attempt to detect damages, insect infestation, fungal, viable, stress and varieties and to predict major components such as moisture, protein, oil, starch, sucrose, toxin, and mass using spectroscopic techniques with ranges of 400e2500 nm (Cheng & Sun, 2014;Govender, Chetty, & Bulcock, 2007;Gowen, O'Donnell, Cullen, Downey, & Frias, 2007;Lee et al, 2011;Mo et al, 2015). However, research concerning the detection of virusinfected seeds using spectroscopic techniques and hyperspectral imaging has not been reported yet.…”