Methods for estimating the adaptive properties of mechanical systems as means of improving their performance indicators

Polyakov, S. A.; Kuksenova, L. I.

doi:10.3103/s1052618817010125

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2022

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“…Several red apples located next to each other merge into one whole, which leads to an incorrect determination of the coordinates of the apple. In addition, when harvesting, the fruits may be partially closed from the robot's camera by a branch or leaves, as well as be located behind each other [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Agricultural robots for fruit harvesting in horticulture application

Barbashov

Shanygin

Barkova

2022

IOP Conf. Ser.: Earth Environ. Sci.

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For the development of the agricultural industry, the urgent task of designing robots capable of efficiently harvesting crops is being set. To do this, it is necessary to ensure the high quality of the algorithm of the computer vision system for determining the boundaries of fruits and the degree of their ripeness. Differences in weather conditions and illumination of a fruit tree have a significant impact on the operation of such an algorithm. It is shown that due to the introduction of neural networks into machine vision systems, the speed of fruit detection has significantly increased. The development of robots for harvesting fruits will allow replacing heavy physical labor of a person, as well as reducing the percentage of crop shortage.

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