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Use of hyperspectral data and leaf area index estimation of processing tomato production

Return of the compound, compound return of goodness of fit for all levels of the best spectral factor before the ¨ 8_ yield estimation compared to the single. Using multi-factor regression model estimation composite is more accuracy and reliability. Application seedlings Ⅱ,[link widoczny dla zalogowanych], fruit set period of maturity and harvest blue spectral information to establish the estimation model. Not only the growth of tomato early prediction of practical value. Agriculture and its inverse model parameters. Can be used for monitoring the growth of tomato. Guide field management of plant vegetation spectral curve can reflect the type of pigments contained within the plant,[link widoczny dla zalogowanych], water, cell structure, growth and biomass, this study only considers the spectrum, leaf area index and yield relationship. Without considering other agronomic parameters and spectral and yield relationships. Although the experimental data obtained in field trials. But the impact factor is relatively more simple. In actual field production, because of topography, soil, water, soil fertility, technology management,[link widoczny dla zalogowanych], not the same,[link widoczny dla zalogowanych], may affect the characteristics of processing tomato so the spectral curve. Should be based on processing tomato canopy under different conditions,[link widoczny dla zalogowanych], the results of data analysis methods to establish a corresponding correction
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