Nondestructive Detection of Water Stress in Tomato Plants by NIR Spectroscopy.

Okamura, Nancy K.; Shimomachi, Takashi; Takemasa, Tohru; Takakura, T.

doi:10.2525/ecb1963.39.75

Cited by 6 publications

(8 citation statements)

References 27 publications

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“…Expert systems for consultation of crop management were also developed [45] . Computer image analysis was undertaken to develop adequate irrigation timing [46,47] . In addition, greenhouse cooling and Chinese type greenhouse light environments have been investigated [48][49][50][51][52][53] .…”

Section: Miscellaneous Topicsmentioning

confidence: 99%

Research exploring greenhouse environment control over the last 50 years

Takakura

2019

International Journal of Agricultural and Biological Engineering

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Environments do not exist in isolation. Their main components in greenhouse systems are plants. Without consideration of plants, analysis of greenhouse environments and environmental control of greenhouses can be accomplished, although it is not simple to achieve. Initial attempts were undertaken to analyze greenhouse environments and then reproduce them. Ventilation rate effects on plant photosynthesis in a growth chamber were reported in 1966. Computer simulations then became a main subject of research. The first dynamic computer simulation of a greenhouse environment including plants was published in 1971. According to innovations of computer technology, the use of minicomputers and microcomputers spread in many areas. By measuring the net photosynthesis of lettuce plants grown under artificial lighting, air temperature was optimized using a minicomputer with the hill-climbing method. The method was designated as the Speaking Plant Approach to environment control (SPA). After the author developed the first reported environmental control system in Japan, systems using microcomputers spread widely for greenhouse environmental control. Knowledge-based expert systems were tested for plant management. Also, a machine vision system was developed to detect critical moments for watering of muskmelon plants. The first feed-forward control method for greenhouses with a large heat mass was reported. Then space farming was tested in 1996 to assess gravity effects on plants. Energy-saving aspects such as solar sterilization, ground heat storage system, and storage using phase change material (PCM) have been reported. Defects of ordinary solarimeters were reported in 2008 along with an approach to estimate evapotranspiration in a greenhouse without the effect of so-called cosine law. Later, this technique was expanded to estimate photosynthesis of the plant canopy in a greenhouse using newly developed sensor units.

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Section: Miscellaneous Topicsmentioning

confidence: 99%

Research exploring greenhouse environment control over the last 50 years

Takakura

2019

International Journal of Agricultural and Biological Engineering

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“…). As this observation is in line with other drought‐related studies of corn (Woolley, ; Schepers et al ., ; Zygielbaum et al ., ) and tomato (Okamura et al ., ; Marino et al ., ), it is likely that a cheaper VIS–NIR broadband sensor may be sufficient for water stress detection in those cases.…”

Section: Discussionmentioning

confidence: 98%

The potential of the spectral ‘water balance index’ (WABI) for crop irrigation scheduling

et al. 2017

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Hyperspectral sensing can detect slight changes in plant physiology, and may offer a faster and nondestructive alternative for water status monitoring. This premise was tested in the current study using a narrow-band 'water balance index' (WABI), which is based on independent changes in leaf water content (1500 nm) and the efficiency of the nonphotochemical quenching (NPQ) photo-protective mechanism (531 nm). The hydraulic, photo-protective and spectral behaviors of five important crops - grapevine, corn, tomato, pea and sunflower - were evaluated under water deficit conditions in order to associate the differences in stress physiology with WABI suitability. Rapid alterations in both leaf water content and NPQ were observed in grapevine, pea and sunflower, and were effectively captured by WABI. Apart from water status monitoring, the index was also successful in scheduling the irrigation of a vineyard, despite phenological and environmental variability. Conversely, corn and tomato displayed a relatively strict stomatal regime and/or mild NPQ responses and were, thus, unsuitable for WABI-based monitoring. WABI shows great potential for irrigation scheduling of various crops, and has a clear advantage over spectral models that focus on either of the abovementioned physiological mechanisms.

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“…For example, Hunt et al 29 investigated the relationship between leaf spectral properties and RWC in three desert species and developed a predictive leaf water content index using absorbance ratios between 760 nm and 900 nm and between 1550 nm and 1750 nm in water-stressed and non-stressed plants. Similarly, Okamura et al 12 used ratios between stressed and non-stressed states in their investiga-tion of non-destructive measurements of leaf gas exchange responses to water stress in tomatoes.…”

Section: Discussionmentioning

confidence: 99%

“…Near infrared spectroscopy has provided indirect predictions of plant tissue constituents [2][3][4][5][6][7] as well as physiological state in tree species 8 and a range of agricultural and forage plants. [9][10][11][12][13][14] Rapid assessment of relative water content (RWC), midday leaf water potential (Y leaf ) and stomatal conductance (g s ) in eucalypt seedlings using calibrated models will allow the assessment of large structured populations to obtain estimates of genetic parameters and simplify the development of physiological, process-based models.…”

Section: Introductionmentioning

confidence: 99%

Technical Note: Handheld near Infared Spectroscopy for the Prediction of Leaf Physiological Status in Tree Seedlings

Warburton

Brawner

Meder

2014

Journal of Near Infrared Spectroscopy

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Near infrared spectra obtained from leaf surfaces of Eucalyptus grandis seedlings were calibrated against physiological measurements of plant water stress, namely: relative water content, leaf water potential and stomatal conductance. In a controlled environment facility, spectral data were obtained from both abaxial and adaxial leaf surfaces as well as upper and lower leaves in the stem. The strongest coefficients of determination using cross-validation were r 2 CV = 0.85 for relative water content, r 2 CV = 0.74 for leaf water potential and r 2 CV = 0.80 for stomatal conductance. The use of a portable NIR instrument enabled the rapid assessment of physiological status of seedlings and would enable in situ, non-destructive, high-throughput monitoring of drought and recovery in the field. This would be particularly useful for non-destructive measurement in longitudinal studies.

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Nondestructive Detection of Water Stress in Tomato Plants by NIR Spectroscopy.

Cited by 6 publications

References 27 publications

Research exploring greenhouse environment control over the last 50 years

Research exploring greenhouse environment control over the last 50 years

The potential of the spectral ‘water balance index’ (WABI) for crop irrigation scheduling

Technical Note: Handheld near Infared Spectroscopy for the Prediction of Leaf Physiological Status in Tree Seedlings

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