Analysis of Factors Influencing Farmers' Participation in Forest Farmers Cooperatives Based on Empirical Research of Zhejiang Province

Based on field research data of farmers in Zhejiang Province, the authors analyzed factors influencing farmers' participation in forest farmers cooperatives (hereafter referred to as FFCs) by the binary logistic regression model. Results show that understanding of farmers about cooperatives has a great influence on their behavior of participation in FFCs. Besides, educational level of householders and existing member scale of cooperatives also have significant influence on farmers' behavior of participation in cooperatives. Therefore, it is required to strengthen propaganda of cooperatives, deepen their understanding of cooperatives; cultivate new high quality farmers to provide talents for development of cooperatives; establish incentive mechanism to encourage farmers to participate in cooperatives.

Bessel-beam-based side-view measurement of seven-core fibre internal core distribution

Accurate knowledge of the internal core distribution of multicore fibres(MCFs)is essential,given their widespread application,including in fibre splicing,bundle fan-in/fan-out,mode coupling,writing gratings,and fibre drawing.However,the extensive use of MCFs is restricted by the limited methods available to precisely measure the fibre core distribution,as the measurement accuracy determines the performance of the product.In this study,a side-view and nondestructive scheme based on Bessel beam illumination was proposed for measuring the internal core distribution of a seven-core fibre.Bessel beams offer a large focal length in a scattering medium,and exhibit a unique pattern when propagating in an off-axis medium with a spatially varying refractive index.The results revealed that a long focal length and unique pattern influence the image contrast in the case of Bessel beams,which differs from a typical Gaussian beam.Further,high-precision measurement of a seven-core fibre core distribution based on a Bessel beam was demonstrated using a digital correlation method.A deep learning approach was used to improve the measurement precision to 0.2°with an accuracy of 96.8%.The proposed side-view Bessel-beam-based method has the potential to handle more complex MCFs and photonic crystal fibres.