Determination of nitrogen and potassium content in greenhouse tomato leaves using a new spectro-goniophotometer
Mao Hanping A B , Zhu Wenjing A and Liu Hongyu A
+ Author Affiliations
- Author Affiliations
A Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education and Jiangsu Province, Mailbox No. 42, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, P.R. China.
B Corresponding author. Email: maohp@ujs.edu.cn
Crop and Pasture Science 65(9) 888-898 https://doi.org/10.1071/CP13391
Submitted: 14 November 2013 Accepted: 28 May 2014 Published: 3 September 2014
Abstract
We assessed the feasibility of determining the nitrogen (N) and potassium (K) content of fresh, greenhouse-grown tomato leaves by using a new polarisation reflectance spectrum spectro-goniophotometer system developed by our research group and coupled with appropriate multivariate calibration methods. The main factors that affect the polarised reflectance characteristics of tomato leaves are discussed, including incident zenith angle, azimuth, detection zenith angle, and polariser angle. Orthogonal experiments and range analyses were performed to verify the optimum angle combination from the polarised reflectance parameters. Optimum angle combination experiments were then conducted to fine-tune the optimal parameters, which resulted in the following conditions: incident zenith angle, 60°; viewing zenith angle, 45°; polariser on light source, 0°; polariser on detector, 45°; and azimuth, 180°. On this basis, 122 fresh leaves of greenhouse-grown tomato were used to establish models of N and K content. Results showed that the performance of the iPLS-GA model under incident zenith angle 60° was superior to that of the other models. The optimal model for N was achieved with R = 0.9418 and root mean square error of prediction (RMSEP) = 0.519 in the prediction set; the optimal model for K was achieved with R = 0.8645 and RMSEP = 0.700 in the prediction set. The results show that it is feasible to measure the nutrient content of fresh, greenhouse-grown tomato leaves by polarisation reflectance spectroscopy with an appropriate multivariate calibration model under angle selection. This method allows for in-depth study of plant nutrient status and rapid detection at the single-leaf scale and has theoretical and practical significance.
Additional keywords: angle selection, fresh tomato leaves, nitrogen, polarised reflectance spectra, potassium.
References
Bao S-D (2008) ‘Soil agriculture chemical analysis.’ 3rd edn (China Agriculture Press: Beijing)Bell GE, Howell BM, Johnson GV, Raun WR, Solie JB, Stone ML (2004) Optical sensing of turfgrass chlorophyll content and tissue nitrogen. HortScience 39, 1130–1132.
Boegh E, Soegaard H, Broge N, Hasager CB, Jensen NO, Schelde K, Thomsen A (2002) Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture. Remote Sensing of Environment 81, 179–193.
| Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture.Crossref | GoogleScholarGoogle Scholar |
Bréon FM, Tanré D, Lecomte P, Herman M (1995) Polarized reflectance of bare soils and vegetation: measurements and models. IEEE Transactions on Geoscience and Remote Sensing 33, 487–499.
| Polarized reflectance of bare soils and vegetation: measurements and models.Crossref | GoogleScholarGoogle Scholar |
Carter GA, Knapp AK (2001) Leaf optical properties in higher plants: Linking spectral characteristics to stress and chlorophyll concentration. American Journal of Botany 88, 677–684.
| Leaf optical properties in higher plants: Linking spectral characteristics to stress and chlorophyll concentration.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXjsVWgs7Y%3D&md5=2752f03abc3ff20cdeb142b8b468a537CAS | 11302854PubMed |
Comar A, Baret F, Viénotb F, Yana L, Solan B (2012) Wheat leaf bidirectional reñectance measurements: Description and quantification of the volume, specular and hot-spot scattering features. Remote Sensing of Environment 6, 12126–12135.
Fitzgerald G, Rodriguez D, Christensen L, Belford R, Sadras VO, Clarke TR (2006) Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments. Precision Agriculture 7, 233–248.
| Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments.Crossref | GoogleScholarGoogle Scholar |
Graeff S, Wilhelm C, Schubert S (2001) Use of reflectance measurement for the early detection of N, P, Mg and Fe deficiencies in Zea mays L. Journal of Plant Nutrition and Soil Science 164, 445–450.
| Use of reflectance measurement for the early detection of N, P, Mg and Fe deficiencies in Zea mays L.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXmsFKqsLk%3D&md5=7c07b0e99af3de015d969b299515b055CAS |
Grant L (1987) Diffuse and specular characteristics of leaf reflectance. Remote Sensing of Environment 22, 309–322.
| Diffuse and specular characteristics of leaf reflectance.Crossref | GoogleScholarGoogle Scholar |
Han ZG, Lu DR, Liu CT, Duan MZ (1998) Measurements of polarization of light reflected by grassland: A case study. Acta Agrestia Sinica 12, 237–243.
Hongbin C, Xuehua F, Zhigang H (2006) A review on remote sensing from POLDER Multispectral, multidirectional and polarized measurements. Remote Sensing Technology and Application 21, 83–92.
Kingham HG (1973) Nutritional disorders. In ‘The U.K. tomato manual’. 1st edn. pp. 81–89. (Grower Books: London)
Leardi R, Lup A (1998) Genetic algorithms applied to feature selection in PLS regression: how and when to use them. Chemolab 41, 195–207.
Leroy M, Bréon FM (1996) Angular signatures of surface reflectances from airborne POLDER data. Remote Sensing of Environment 57, 97–107.
| Angular signatures of surface reflectances from airborne POLDER data.Crossref | GoogleScholarGoogle Scholar |
Luo YJ, Zhao YS, Wu TX, Zhao LL (2007) Research and application of muti-angle polarization characteristics of water body mirror reflection. Science in China Series D. Earth Science 50, 946–952.
Mao H-P, Zhang X-D, Zhu W-J (2011) Crop nutrient levels rapid diagnostic devices based on polarization spectroscopy. Patent No. ZL 2011 2 0454754.6.
Mathias U, Jung M (2007) Determination of drugserum protein interactions via fluorescence polarization measurements. Analytical and Bioanalytical Chemistry 388, 1147–1156.
| Determination of drugserum protein interactions via fluorescence polarization measurements.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXntleqt7o%3D&md5=bb3761a5c6dfe0c91403d4502cdc918bCAS | 17554529PubMed |
Miller G, Thomas A (2003) Using near infrared reflectance spectroscopy to evaluate phosphorus, potassium, calcium, and magnesium concentrations in Bermudagrass. HortScience 38, 1247–1250.
Min M, Lee WS (2005) Determination of significant wavelengths and prediction of nitrogen content for citrus. Transactions of the American Society of Agricultural Engineering 48, 455–461.
| Determination of significant wavelengths and prediction of nitrogen content for citrus.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXltlShsbY%3D&md5=6e8a59d4762aa44843d50742abd47707CAS |
Min M, Lee WS (2006) Nondestructive detection of nitrogen in Chinese cabbage leaves using VIS-NIR spectroscopy. HortScience 41, 162–166.
Norgaard L, Saudland A, Wagner J, Nielsen JP, Munck L, Engelsen SB (2000) Interval partial least squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy. Applied Spectroscopy 54, 413–419.
| Interval partial least squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXit1Gls7s%3D&md5=05485ed5772ecabe70cf6c6cca953e03CAS |
Pagola M, Ortiz R, Irigoyen I, Bustionce H, Barrenechea E, Aparicio-Tejo P, Lamsfus C, Lasa B (2009) New method to assess barley nitrogen nutrition status based on image color analysis. Comparison with SPAD-502. Computers and Electronics in Agriculture 65, 213–218.
| New method to assess barley nitrogen nutrition status based on image color analysis. Comparison with SPAD-502.Crossref | GoogleScholarGoogle Scholar |
Raven PN, Jordan D (2002) Polarized directional reflectance from laurel and mullein leaves. Optical Engineering 41, 1002–1012.
| Polarized directional reflectance from laurel and mullein leaves.Crossref | GoogleScholarGoogle Scholar |
Sainju UM, Singh BP, Rahman S, Reddy VR (1999) Soil nitrate nitrogen under tomato following tillage, cover cropping, and nitrogen fertilization. Journal of Environmental Quality 28, 1837–1844.
| Soil nitrate nitrogen under tomato following tillage, cover cropping, and nitrogen fertilization.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXhtFWnuw%3D%3D&md5=de6cffe9264b4251a7e9bc5c7b0af517CAS |
Samaila A, Amans EB, Abubakar IU, Babaji BA (2011) Nutritional quality of tomato as influenced by mulching, nitrogen and irrigation interval. The Journal of Agricultural Science 3, 266–270.
Schmitz-Eiberger M, Haefs R, Noga G (2002) Calcium deficiency—influence on the antioxidative defense system in tomato plants. Journal of Plant Physiology 159, 733–742.
| Calcium deficiency—influence on the antioxidative defense system in tomato plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XmsVyqu7s%3D&md5=3d687f95f3bb6127268e9b75645bd669CAS |
Song KS, Zhang B, Zhao YS (2004) Study on polarized characteristics of deciduous tree leaves in Northeast of China. Journal of Northeast Normal University (Natural Science) 36, 88–94.
Song KS, Zhang B, Zhao Y (2007) Study of polarized reflectance of corn leaf and its relationship to laboratory measurements of bidirectional reflectance. Journal of Remote Sensing 11, 632–640.
Sun ZG, Zhao YS (2011) The effects of grain size on bidirectional polarized reflectance factor measurements of snow. Journal of Quantitative Spectroscopy & Radiative Transfer 112, 2372–2383.
| The effects of grain size on bidirectional polarized reflectance factor measurements of snow.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtVWjtbrF&md5=d21fbeef83b14607370ca27ad3895dd8CAS |
Sweeney DW, Graetz DA, Bottcher AB, Locaccio SJ, Campbell KL (1987) Tomato yield and nitrogen recovery as influenced by irrigation method, nitrogen source, and mulch. HortScience 22, 27–29.
Ulissi V, Antonucci F, Benincasa P, Farneselli M, Tosti G, Guideucci M, Tei F, Costa C, Pallottino F, Pari L, Menesatti P (2011) Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy. Sensors 11, 6411–6424.
| Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXotVWjt7c%3D&md5=61f35ffc2f86f23fa67278f5fe0ed110CAS | 22163962PubMed |
Upendra M, Sainju R-D, Singh B (2003) Mineral nutrition of tomato. Food, Agriculture & Environment 1, 176–183.
Vanderbilt V, Grant L (1985) Polarization of light scattered by vegetation. Proceedings of the IEEE 73, 1012–1024.
| Polarization of light scattered by vegetation.Crossref | GoogleScholarGoogle Scholar |
Varis S, George RAT (1985) The influence of mineral nutrition on fruit yield, seed yield, and quality in tomato. Journal of Horticultural Science 60, 373–376.
Vittayapadung S, Zhao JW, Chen QS, Chuaviroj R (2008) Application of FT-NIR spectroscopy to the measurement of fruit firmness of Fuji apples. Maejo International Journal of Science and Technology 2, 13–23.
Wiwart M, Fordoński G, Żuk-Gołaszewska K, Suchowilska E (2009) Early diagnostics of macronutrient deficiencies in three legume species by color image analysis. Computers and Electronics in Agriculture 65, 125–132.
| Early diagnostics of macronutrient deficiencies in three legume species by color image analysis.Crossref | GoogleScholarGoogle Scholar |
Yang Z (2003) Measurement and achievement of polarimetric spectrum. Chinese Journal of Spectroscopy Laboratory 6, 815–820.
Yang Z, Gao SG, Wang PG (2005) Polarization of reflected light by earth objects. Acta Optica Sinica 2, 241–245.
Zhang LL (2007) Simulation of clove leaf’s chlorophyll concentration via the polarized light and hyperspectral. MSc Thesis, Northeast Normal University. Changchun, Jilin, China.
