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(searched for: doi:10.1080/09064710.2021.1946586)
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Shuai Dai
Wireless Communications and Mobile Computing, Volume 2022, pp 1-10; https://doi.org/10.1155/2022/5991783

Abstract:
The agricultural field requires hard work and enough human resources to complete any agriculture tasks. Apart from these requirements, maintenance costs and services of the agricultural equipment have also to be considered. Therefore, according to the agricultural work essentials, the workforce has to be increased, and productivity can also be improved. However, it is not easy to find a human resource under certain rash circumstances. By then, the productivity of agriculture may get affected; to overcome this issue, specific intelligent systems can be introduced to manage the productivity of the provincial states of the country. According to the requirement of agricultural productivity, intelligent sensors can be fixed in the agricultural land to monitor the status of the land and crops to take precautionary actions. To implement this intelligent technology in this research, wireless sensors are fixed to collect data and perform analysis with the aid of intelligent decision support systems. The study results proved that the provincial countries have obtained increased agricultural production from 2014 to 2020.
Wei Zhang, Chaodan Yang, Ying Cheng, Haiying Chen
Wireless Communications and Mobile Computing, Volume 2021, pp 1-11; https://doi.org/10.1155/2021/9539535

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.
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