| Plant photosynthesis uses light energy to convert carbon dioxide into carbohydrates,which accounts for 90%biomass and crop yield.Increasing the efficiency of photosynthesis in greenhouse production is an important way to increase crop yields to meet food demand growth.A reasonable photosynthetic mechanism model is crucial for the research of photosynthesis regulatory strategies based on plant physiological needs.However,due to the diversity of biological and environmental variables,the research on photosynthetic mechanism model is immature.At present,there is a lack of basic software and hardware facilities that can quickly verify these models in photosynthetic regulation.Many photosynthetic mechanism models in the literature are often limited to simulation,and their effectiveness in photosynthetic regulation has not been verified and evaluated,which affects the process of agricultural intelligence.Therefore,research and development of an open plant photosynthetic activity regulation platform with the secondary development function,allowing users to flexibly call sensors and actuators is very important.Based on a photosynthetic mechanism model,the parameter regulation method of the photosynthesis electron transport chain is studied,and the plant growth state can be assessed through the high-precision leaf phenotype acquisition method.It plays an important role in the fields of scientific research and greenhouse production.Focusing on the above problems,the main work of this research is listed as follows.1.Research and development of a photosynthetic activity regulation platform with the secondary development function.At present,users cannot easily complete plant photosynthesis model embedding,photosynthetic activity regulation experiments and evaluations.In response to the above problems,based on the 3-layer Io T architecture,by introducing the open resource layer,the photosynthetic activity regulation platform with the secondary development function was studied and developed,which provides users with API files in different programming languages.Research and development of a plant growth chamber software and hardware system were carried out to validate the platform,so that users can use API files for data acquisition and control.The results show that through the research and development of the photosynthetic activity regulation platform and growth chamber system,it can provide users with convenient sensors,actuators and data access and regulation methods,and provide a basic platform for the application of photosynthetic activity regulation methods.2.Research on a high-precision plant leaf instance segmentation model for photosynthesis assessment.Overlapping leaves,blurred edges and too small young leaves lead to inaccurate leaf instance segmentation,which affects the measurement accuracy of leaf phenotype information and the evaluation of photosynthesis regulation effects in the platform.Aiming at this problem,based on the Mask R-CNN model,the cascade module was used to select the proposal box to improve the detection effect of overlapping leaves.The attention mechanism was introduced to the segmentation branch to improve the segmentation of leaf edges.Through multi-scale testing techniques,the segmentation accuracy of young leaves was improved.The results show that the symmetric optimal Dice score(SBD)of the improved model in the CVPPP dataset is 89.7%,which is 1.7 percentage points higher than the existing literature results.Based on the results of leaf instance segmentation,the method of obtaining leaf area and perimeter phenotype parameters was studied.As one of the important functions of the platform,it provides high-precision assessment of plant growth status to judge the effect of photosynthetic activity regulation.3.Research on the regulation methods of photosynthesis activities based on plant physiological needs.Aiming at the disadvantages of current plant growth regulation strategies and the detachment of the photosynthesis electron transport chain,Arabidopsis thaliana was selected as the research plant.The growth chamber system developed in this research was used to study the regulation method in actual scenarios through experiments.A steady-state fluorescence tracking regulation experiment was designed to solve the problem of insufficient current fluorescence regulation strategies.A photosynthesis electron transport chain Q_A~-tracking regulation experiment was designed,using photosynthetic mechanism model and extended Kalman filter state estimation strategy,based on real-time measurement of chlorophyll fluorescence and PID control strategy,to realize the regulation of unmeasurable parameters of the photosynthesis electron transport chain in photosynthesis activities.This experiment applies the photosynthesis model to the actual environment for testing and regulation.The results of this research can provide software and hardware support for the fast-growing photosynthesis model effect test,provide theories and methods for the application and evaluation of the photosynthesis electron transport chain parameter control experiment.It provides intelligent control of photosynthetic efficiency in the future to improve crop quality and yield. |