DOI: 10.14704/nq.2018.16.5.1394

Evaluation of Scale Effect of Fragmented Agricultural Land Transfer Based on Neural Network

Lingjuan Tai, Linhong Li, Jun Du


The artificial neural network consists of a large number of neurons interconnected to each other, which simulates the information process mode of human brains. This is a complex network system that carries out parallel processing of information and nonlinear transformation. The agricultural land in China is characterized by fine fragmentation, and people-land relation is tense. In order to promote the intensive development of agriculture in China, this paper takes 31 provinces and cities as research objects and proposes an evaluation model based on adaptive fuzzy neural network (ANFIS) for the scale effect of fragmented agricultural land transfer to overcome the subjectivity of traditional evaluation methods. In order to improve the accuracy of the evaluation, the combination of qualitative and quantitative methods is used to screen the indicators, and the subtraction clustering method is used to obtain the initial fuzzy rules of the adaptive fuzzy neural network. Then, the adaptive fuzzy neural network model can be trained and tested and the convergence results of the model are good. The results of model analysis show that under different resource endowments and production conditions, the scale effect of land transfer in different regions presents significant differences. On this basis, it is proposed that the intensification process of the agricultural land use cannot be blindly promoted, and the land transfer should follow the principle of moderation. Appropriate agricultural production models should be formulated based on different geographical environments.


Agricultural Land Transfer, Evaluation of Scale Effect, Subtractive Clustering, Adaptive Neural Network

Full Text:



Cao YG, Zhou W, Wang J, Yan C, Zhao L. Comparative on regional cultivated land intensive use based on principal component analysis and analytic hierarchy process in Three Gorges Reservoir Area. Transactions of the Chinese Society of Agricultural Engineering 2010; 26(4): 291-96.

Chen PY, Chen FB. Literature review on the causes of land fragmentation and its effects. China Land Science 2011; 25(9): 90-97.

Chiu S L. Fuzzy model identification based on cluster estimation. Journal of Intelligent & Fuzzy Systems 1994; 2: 267-312.

Fu HY, Ye JZ. On the value of the persistence of peasantry. China Agricultural University Journal of Social Sciences Edition 2017; 34(1): 20-29.

He XF, Huang XF. The circulation of agricultural land cannot be irreversibility. Land & Resources Herald 2011; 8(3): 52-54.

Huang YX, Zhang HY, Li WY. Investigation and reflection on rural and transfer. Issues in Agricultural Economy 2011; 32(5): 4-6.

Jang J S R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans on SMC 1993; 23(3): 665-721.

Jin ZF, Lu XP, Zhang W, Yan CQ. Analysis of scale land use of villages in Taicang city based on fuzzy synthetic evaluation. Resources and Environment in The Yangtze Basin 2014; 23(7): 962-68.

Liu MG, Jia SN. The scientificity of Chinese traditional agricultural production and management organization model. Journal of Hebei University of Economics and Business 2014; 35(2): 31-36.

Qian ZH, Wang XW. How agricultural land transfer can promote the increase of farmers' income. Chinese Rural Economy 2016; 10: 39-112.

Xia YL, KuangYL. Multidimensional poverty reduction effects of farmland transfer: An analysis based on data collected from 1218 farm households in five provinces. Chinese Rural Economy 2017; 9: 44-518.

Yang HL, Lu Y, Jiao WJ, Min QW. Analysis on driving factors of land use change in traditional agricultural regions: An empirical study based on house hold behaviors. Resources Science2010; 32(6): 1050-57.

Yuan GL, Lin JZ. An empirical study on the effects of agricultural land institutional change on agricultural transformation. Journal of South China Agricultural University (Social Science Edition)2013; 12(2): 11-10.

Zhang QJ, Cao XL, Lu JN. Evaluation on rural residential land intensive use in Hebei Province. Transactions of the Chinese Society of Agricultural Engineering 2010; 26(7): 312-16.

Zhu MD, Jiang DP. Discussion on the development and utilization of agricultural resources in China. Price Theory and Practice 2014; 5: 110-13.

Supporting Agencies

| NeuroScience + QuantumPhysics> NeuroQuantology :: Copyright 2001-2019