Abstract
As of today existing techniques and tools for measuring leaf area involve the detachment of leaves for further scanning and calculations to determine leaf area. The disadvantages of existing solutions for determining the area of the sheet surface are labor intensity, the duration of these studies, the relatively low accuracy of measurements. Due to these facts this study is an important work aimed to simplifying the process of analyzing biological parameters and other important characteristics of plants, as well as increasing the efficiency of this agrotechnical task. This work aims developing a set of software tools with trained neural networks to determine whether a photographed leaf belongs to the leaves of a soybean crop, assess the health of soybean plants and determine the surface area of a soybean leaf with geotagging.
Highlights
IntroductionThe determination of leaf area is a task that must be solved in the course of many quantitative physiological studies of plants
When conducting scientific research related to the methodology for determining the biological potential of plants, a prerequisite for substantiating the prospects of their use in breeding and agricultural practice is the registration of the vegetative state of plants, the determination of the parameters of the assimilation apparatus of the studied plants and the study of the leaf area [1,2].For breeders and agronomists, the determination of leaf area is a task that must be solved in the course of many quantitative physiological studies of plants
The architecture of a reconciliation neural network based on the VGG19 architecture for a classification neural network has been developed
Summary
The determination of leaf area is a task that must be solved in the course of many quantitative physiological studies of plants. Estimation of leaf area is needed as a morphometric indicator of plant growth. An important characteristic of plants is the ratio between the area of their leaves and the total mass of the aboveground part, and the height [3]. Determination of the area of the leaf apparatus of plants is necessary for the work of agronomists, breeders, physiologists, biologists, ecologists. Knowledge of the area of the leaf apparatus is needed in agronomy to determine. To date, existing techniques and tools for measuring leaf area imply leaf detachment for further scanning and calculations to determine leaf area [4]
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