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Genipa americana L. is a tree species with socioeconomic and environmental potential. Popularly known as jenipapeiro, it is used in the production of wood and its fruits are considered one of the main recipes of small farmers, being also used in the recovery of degraded areas. The work aimed to evaluate and compare the traditional method (Pachymeter) and digital image obtained through a photographic camera to determine the height of the plant, height of insertion of the first leaf and diameter of the neck of American genipa. The study was carried out in the Flora-action-Seedlings nursery and in the Didactics II laboratory. In the nursery, 30 seedlings were analyzed randomly. In the same numerical sequence were the seedlings on the phenotyping platform where the images were captured, with a Sony Gps Hd Avchd progressive digital camera, attached at a height of 50 cm. The diameter of the stem (CD), the total height of the plant and the height of insertion of the last leaf were measured using the free ImageJ software, using images from digital cameras. Statistical analyzes were performed with the aid of the Sigmaplot program and analyzed using descriptive statistics to estimate measures of central tendency (mean) and dispersion (standard deviation and coefficient of variation). Through the results, it is possible to observe the high proportion of the two methodologies, being validated both for the traditional methods (caliper) and for the innovative method (digital image). Where the coefficients were high, showing the accuracy of the methods. Thus, it indicates that the digital camera can be very useful to measure the total height of a plant and can also be indicated for trees, shrubs and others. According to the data obtained, it can be said that there is precision between the methodologies used with manual measurement and digital images, using the ImageJ software, and its use is recommended for the analysis of the morphological characteristics of the species Genipa americana L.

The jambolan as it is popularly known as Syzygium cumini (L.) Skeels, is of Indian origin. Studies in various areas require estimation of leaf area over the growing cycle. Leaf area is an important aspect in the analysis of photosynthetic efficiency of plants. The objective of the present study was to evaluate S. cumini leaf area determination methods based on measurements by caliper, leaf area integrator and previous image calibration in ImageJ Software, comparing both methodologies. The present study was developed at Mato Grosso State University Carlos Alberto Reys Maldonado - UNEMAT, Alta Floresta campus - MT. Fifty leaves were analyzed, which were numbered from 1-50 in length (C) and width (L) with the aid of a digital caliper and leaf area integrator (Leaf area integrator LI-COR 3100), for measuring leaf area (AF), after the sheets were scanned on an HP Photosmart C4680 flatbed scanner and processed using ImageJ software. Given the data found, it was found that the method used via digital imaging was accurate and showed a high correlation with manual measurement, indicating that the morphological characteristics of leaf area, length and width of Jambolão leaves can be estimated through analysis and analysis. Digital image processing.

The present work aims to estimate the length and width of the seeds, through the analysis of digital images and to validate the methodology through statistical data. To estimate the length and width of seeds via image analysis, 50 M.maripa seeds were used. The seeds were arranged in a decreasing way from 1 to 25 diagonally, on a matte black fabric, on a phenotyping platform, with a Sony Hd Avchd progressive digital Gps camera, coupled at a height of 50 cm. The images were captured by the camera in automatic mode, without flash, automatic ISO speed, in an RGB system and with a size above 2Mb. Soon after the seeds passed the traditional evaluation method with the aid of a digital caliper, measured in terms of length and width. The images were analyzed with the ImageJ software. Statistical analyzes were performed with the aid of the Sigmaplot program. The results of the length and width of the seeds of Inajá seen by the caliper and digital image via camera, were very distant, showing high dispersion and low correlation r = 0.4037 and R² = 0.1629 for length and r = 0.2985 and R² = 0.0891, showing that the Compared data had little similarity. The error between both the methodology was considered low: 3,81063 and 3,769 for the variables of seed length and width. The method of analysis by digital image and caliper for estimating the length and width of Maximiliana maripa seeds showed a low correlation between the two methodologies. The use of image analysis to estimate the length and width of M. maripa seeds is not indicated.

Citrus fruits are among the most consumed fruits by Brazilians, being grown in practically all states. Phenotyping has been associated with non-destructive optical analysis of plant characteristics, due to the use of images. The present study had the objective of estimating the morphological characteristics of Pera Rio orange fruits (Citrus sinensis) acquired in the local trade of Alta Floresta through traditional methods and using the Tomato Analyzer softwer. Measurements were made regarding length and width with the aid of a digital caliper, fruit mass using a digital precision analytical balance, total soluble solids content (ºBrix), skin thickness and height of the endocarp. The volume was also measured using the water column displacement method (VDCA), estimated diameter values with the Tomato Analyzer program, the correlation between the volumes was performed, and regression model estimates were performed based on the SigPlot program. . It was found that there was a correlation between volume estimation by the water column displacement method (VDCA) and fruit volume using the diameter estimated by the digital image (IPV), revealing that the R2 correlation coefficient was 0.80. Through the obtained results it is possible to state that the Tomato Analyzer is efficient to evaluate the volume of orange Pera Rio fruits, being able to be indicated to characterize other citrus fruits.