Phytomonitoring in the Phytometrics of the Plants

Vitalii Lysenko,Andrii Zhyltsov,Taras Lendiel,Vitalii Nalyvaiko,Ihor Bolbot,M Jewiarz

doi:10.1051/e3sconf/202015407012

Vitalii Lysenko, Andrii Zhyltsov + Show 4 more

Open Access

https://doi.org/10.1051/e3sconf/202015407012

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Abstract

Phytomonitoring in the greenhouse using non-contact, visual assessment of plants is considered. The basis of the developed visual assessment is the implementation of plant photography by a special electrotechnical complex, after which the stored images are to be recognized by means of applying the technology of wavelet analysis. The use of technology of wavelet analysis of photographs as a means of contactless information acquisition will allow to assess the growth and condition of plants in the greenhouse and predict their development through the mathematical transformations laid down in its basis. This approach will provide an assessment of future yields. When recognizing plant photo images it is also possible to estimate the impression of plants that will detect the disease and then inform the staff about the condition of the a certain plant. The developed algorithm of recognition is also used to recognize biomass in the greenhouse space. The above will allow you to predict the amount of biomass for further use in bioreactors.

Highlights

Assessment of plant development is impossible without its visual analysis
One of the successful solutions to the problem of visual inspection is the use of a mathematical apparatus for wavelet analysis of images, which allows for visual inspection of plants throughout the greenhouse area
The intensive use of greenhouse space leads to the simultaneous presence of plants in several phases, which leads to an increase in the dimension of the task of synthesizing the control system in real time

Summary

Introduction

Assessment of plant development (phytomonitoring) is impossible without its visual analysis. It is necessary to constantly control the development of plants with the simultaneous control of the parameters of the microclimate. One of the successful solutions to the problem of visual inspection is the use of a mathematical apparatus for wavelet analysis of images, which allows for visual inspection of plants throughout the greenhouse area. Observations on the development of plants and their reaction to the effect of microclimatic disturbances provide an opportunity to accumulate knowledge about the plant and predict its further development and yield [1, 2, 5, 8]. The intensive use of greenhouse space leads to the simultaneous presence of plants in several phases, which leads to an increase in the dimension of the task of synthesizing the control system in real time. In the development of systems of this type, as a rule, a method for the formation of local functional intelligent subsystems on an hourly basis is applied [3]

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