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- Title
Evaluation method and model analysis for productivity of cultivated land.
- Authors
Yan Yifan; Liu Jianli; Zhang Jiabao
- Abstract
Quantitative evaluation, classification and gradation of cultivated land productivity are important for implementing formula fertilization, guiding the oriented soil fertility cultivation and precision farming. In this paper, the definition and main processes of cultivated land productivity were introduced ranging from indexes selection, evaluation unit division and assignment, index weight determination and gradation. Different evaluation methods of land productivity using machine learning technique confirmed with good results were summarized such as China's ministry of agriculture recommended method, Delphi-analytical hierarchy process, soil productivity index, support vector machine, artificial neural network, and decision tree. Their use methods, advantages and disadvantages were analyzed. In general, these machine learning techniques are objective and can easily overcome Delphi's subjective effect. Farmland soil fertility survey and quality evaluation are popular. However, some potential problems occurred, for example that evaluation index system is lack of universality, results of evaluation cannot be compared for different city, even county if the evaluation methods are different, and work is hard to be done in some remote mountainous areas where the economy and science fall far behind other regions. These problems were discussed and some possible solutions were proposed such as applying classification and regression trees in remote mountainous areas to enhance coefficient of utilization of data set based on mechanism for handling missing values. Finally, the paper analyzed if average annual yields used as target variables of these new machine learning techniques are feasible and reasonable. If the answer was yes, how to integrate these new techniques into traditional evaluation and classification methods of cultivated land productivity may become the possible direction for study. It hoped that this article would provide valuable information on methodology for evaluation, classification, and gradation of cultivated land productivity.
- Publication
Transactions of the Chinese Society of Agricultural Engineering, 2014, Vol 30, Issue 5, p204
- ISSN
1002-6819
- Publication type
Article
- DOI
10.3969/j.issn.1002-6819.2014.05.026