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Acta Horticulturae Sinica ›› 2024, Vol. 51 ›› Issue (11): 2645-2656.doi: 10.16420/j.issn.0513-353x.2024-0466

• Cultivation·Physiology & Biochemistry • Previous Articles     Next Articles

Analysis and Model Prediction of Factors Affecting the Binding Force of Fruit Stalks of Wolfberry

CHEN Yun1, LIU Quancheng1, JIANG Xinna1, WEI Yuqing1, WANG Fan1,*(), YAN Lei1,*, ZHAO Jian1, CAO Xingda1, XING Hong2,*   

  1. 1 School of Technology,Beijing Forestry University,State Forestry Administration Key Laboratory of Forestry Equipment and Automation,Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation,Beijing 100089,China
    2 Chinese Academy of Forestry,Beijing 100091,China
  • Received:2024-05-29 Revised:2024-08-20 Online:2024-12-12 Published:2024-11-26
  • Contact: WANG Fan, YAN Lei, XING Hong

Abstract:

To analyse the intrinsic connection and influence law between the stalk binding force of wolfberry and its related physical property parameters,to discover the important fruit parameters,and to establish a prediction model of stalk binding force,with a view to providing a basis for improving the efficiency and accuracy of mechanical picking of wolfberry. Taking the ripening fruit of‘Ningqi 1’and ‘Ningqi 7’,the main cultivars of wolfberry in Qinghai Province,as the research object,the RGB colour model components of wolfberry fruits with different maturity were obtained by image processing methods,and different cultivars,maturity were analysed,temperature,humidity and the position of the fruit on the branch on the impact of the stalk binding force,as well as the correlation between the stalk parameters,fruit parameters and the stalk binding force,to construct a prediction model of the stalk binding force. The results showed that the maturity could be distinguished by the RGB colour model,but the overlapping part of the stalk binding force of different maturity levels was large,which could not be achieved for precise picking. The results of two-way ANOVA showed that both cultivar and maturity had a significant effect on the binding force;stalk parameters,fruit parameters and fruit hardness were significantly correlated with the stalk binding force;orthogonal tests showed that the position of the fruit on the branch,temperature and humidity at the time of picking did not have a significant effect on the binding force. The parameters of partial least squares regression(PLSR),random forest(RF)and back-propagation neural network(BPNN)modelling methods were optimised to establish a prediction model for fruit stalk binding,in which the BPNN showed excellent prediction performance(Rp2 = 0.888,RMSEP = 0.440,RPD = 2.756),which was able to achieve effective prediction of fruit stalk binding.

Key words: wolfberry, mechanical harvesting, fruit stalk, binding force, morphology, influencing factors, predictive modelling