Prediction of Soil Fertility Change Trend Using a Stochastic Petri Net
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Prediction of Soil Fertility Change Trend Using a Stochastic Petri Net Xia Geng 1 & Changsheng Zhu 2,3
&
Jijun Zhang 1 & Zenggang Xiong 4
Received: 16 July 2020 / Revised: 18 August 2020 / Accepted: 30 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Grasping the future change trend of soil fertility has great significance in improving the soil quality and achieving high-quality crop production and sustainable agricultural development. However, studies predicting the future change trend of farmland soil fertility are scarce. In this paper, with Yanzhou District of Shandong Province as the research area, a study was conducted based on the sampled data from 2012 to 2017. The data extracted from 2012 to 2016 was used for prediction and that from 2017 was applied for verification. The pH, organic matter, available phosphorus, alkali-hydrolyzed nitrogen and available potassium were selected as indexes of soil fertility. From a socioeconomic perspective, the factors affecting the changes in soil fertility selected in this study include fertilization measures, crop yield, area of arable land, farmers’ income, degree of mechanized operation, irrigated area, pesticide dosage, mulch dosage and rural electricity consumption. Based on this, a stochastic Petri net was used to build a model for predicting the soil fertility change trend. According to the relevant statistical data, the parameters of the model were determined, and by using the solid mathematical basis of the model, the probability of about 0.7852 was calculated out for the soil fertility to decline in the study area in the coming year. By comparing the soil fertility in 2016 and 2017, and further analyzing the changes in soil fertility from 2012 to 2016, the method of predicting the variation trend of soil fertility proposed in this study was verified to be effective. Keywords Influential factors . Prediction method . Probability . Soil fertility . Stochastic Petri net
1 Introduction China has a large population but limited soil resources, so safeguarding the resources and maintaining the sustainable development of agricultural production, the ecological environment and social economy are still and will be major challenges and strategic issues in the twenty-first century and beyond [1]. The soil quality change has the most direct, profound and far-reaching impact on the sustainable development of agriculture [2]. Soil fertility is an essential attribute of soil, an important index reflecting the crop producing power of
* Changsheng Zhu [email protected] 1
School of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, Shandong, China
2
School of Intelligent Equipment, Shandong University of Science and Technology, Tai’an 271019, Shandong, China
3
School of Control Science and Engineering, Shandong University, Jinan 250100, Shandong, China
4
School of Computer and Information, Hubei Engineering University, Xiaogan 432000, Hubei, China
soil, as well as the ability to support and
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