Production Management of Professional Farmers under the New Rural Construction Based on Big Data Technology

Abstract

By collecting theoretical research and practical cases on the application of big data in agricultural production and management at home and abroad, this article is based on the actual production and management of rural farmers, deeply analyzes the current situation of big data construction, and finds a model suitable for the development of local agricultural big data. We establish an agricultural big data system suitable for rural characteristics and provide suggestions and suggestions. First of all, this article is based on actual research. Through interviews and questionnaires on the occupational differentiation and agricultural production management of local farmers, the relevant theoretical connections are made, through descriptive statistical analysis of data, and Stata is used for intersectionality. This study uses modular construction methods to build a complete industrialized farm house system and, on this basis, combines the nature of family industry and family intergenerational relationship to divide the unit types and combinations of industrialized modular farm houses. In corresponding analysis and discussion, the test shows that the professional differentiation of farmers is related to the willingness of agricultural production management and agricultural production management behavior. Secondly, this paper uses logistic model to carry out empirical analysis of influencing factors and conducts research on the influencing factors of agricultural production management willingness and agricultural production management behaviors of farmers with different occupational differentiation degrees and models agricultural production management willingness and agricultural production management behaviors, respectively, for empirical testing. Farmers’ professional differentiation has related influence factors on agricultural production management willingness and land transfer behavior. After analyzing the results of the model, this article concludes that the occupational differentiation of farmers has a significant impact on the willingness of agricultural production management, and the specific manifestations are significant in many aspects such as farmers’ age, education level, whether they have nonagricultural employment skills, and the number of family agricultural labors. The professional differentiation of farmers also has a significant impact on agricultural production management behavior, which is specifically manifested in many aspects such as farmers’ age, education level, nonagricultural employment skills, and geographical location of land.

Transforming Traditional Farmers into Professionals: An Introduction to Human Resource Management in Rural

“…The fundamental differences between modern professional farmers and traditional farmers can be seen through four main aspects, which are outlined in more detail in Table 1. These aspects include the methods and technologies used, management approach, level of specialization, and engagement in sustainable agricultural innovations and practices (Adam et al, 2022;Niu et al, 2023;Zhang et al, 2021). These differences signify a significant evolution in agricultural practices, shifting from traditional methods towards a more structured, science-based and sustainabilityoriented approach.…”

“…International academics have reached a consensus that to improve the economy of the agricultural sector and ensure the sustainability and quality of food production; it is imperative to develop farmers with high professional capabilities on a large enough scale (Geng, 2020;Randrianarison et al, 2017;Zeng et al, 2023). Research conducted by Zhang and his colleagues provides deep insights into the effect of training on farmers (Zhang et al, 2021). The results show that the application of innovative training methods not only improves farmers' literacy but also has the potential to increase their income.…”