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After several stages of development, China has made great achievements in rural energy. However, the low-efficiency and high-pollution solid fuels that characterize the main source of energy consumption in rural areas remain unchanged. Under the constraints of achieving the carbon neutrality goal in 2060, the existing energy system needs to be transformed to create a sustainable energy system in order to further enhance the economy of rural areas in China. To accelerate the transition of rural energy, this paper answers the following questions based on rural energy consumption characteristics and policies, literature analysis: Why is the rural energy transition important for China at national and rural levels? How the rural energy transition can contribute to the development of rural areas? What are the challenges to implementing the rural energy transition? The paper concludes that China’s rural areas can achieve both economic and ecological development through rational use of its vast space and natural resources, which will be valued upwards of 450 billion CNY and 800 Mt CO2eq respectively. Rural energy transition will face a number of challenges from infrastructure, socio-cultural, and program development. Accordingly, Therefore, there is a need to strengthen infrastructure, raise public awareness and deepen the tripartite cooperation between government, enterprises and farmers to deal with the above problems.

China is currently rich in biomass resources, and is in a period of energy transition, the development of biomass is the general trend. However, the development of biomass pellet fuel is still immature and faces many obstacles. At this stage, the sales of biomass pellet fuel has problems such as unclear parameters or insufficient coverage. Therefore, it is proposed to build a one-stop platform to promote the development of biomass fuel industry by using modern means to widely collect information on pellet fuel, calculate the reduction potential of pellet fuel, and build an online platform to reduce the information difference. This paper constructs a database by obtaining a large amount of information on biomass fuels through questionnaires, telephone consultations and access to information on websites. Based on the established database, Jupyter was used to analyze the number of fuel types, the provincial contribution, the fuel price distribution and the calorific value distribution. Among them, Guangdong, Shandong, Jiangsu, Hebei and other large grain provinces have the highest contribution of biomass fuels; most of the fuel types are mainly wood fuels, with wood chips, pine and redwood being the main types; the calorific value of fuels is mainly concentrated in the range of 3800-4600kcal/kg; and the price of fuels is mainly concentrated in the range of 600-1000 RMB. In order to reflect the cleanliness of biomass fuels, the article accounts for the carbon emissions of biomass fuel substitutes at different stages of their life cycle, with the aim of providing a reference for users. Eventually a one-stop platform for supply and demand of biomass fuel was established based on a database and carbon accounting methodology. The idea is to import the database into the backend of the WeChat app for retrieval, display it on the front end and sort it according to the user's choice, and give an estimate of emission reductions based on the user's purchase volume and transport distance.

This article uses machine learning technology to analyze the correlation of climate factors that affect crop yields, and conduct prediction and comprehensive evaluation to guide agricultural production. This paper selects early rice crops in Guangxi as the research object. Based on the climatic data of early rice planting areas in Guangxi from 1990 to 2017, a cart decision tree is constructed to generate a random forest model to analyze the correlation between early rice yield and climatic factors in each growth period, and obtain the various growth periods The ranking of the importance of climatic factors on the yield, thus forming the basis for calculating the weights of the climatic factors in each growth period of early rice; based on the climatic data in Guilin, Guangxi from 2008 to April to July 2017, predicted by the long and short-term memory network Guilin's various climate data from April to July 2018.

In recent years, the evaluation of translation quality has been widely commented upon in the domestic translation community, with numerous theoretical achievements. However, the author holds that rather than theory, it should be more of practice, in which the practical purposes of translation are involved. The purposes can be roughly classified into two: content-oriented translation and translation for overall appreciation. Different translation purposes should have different evaluation characteristics. In general, there are unified standards for the former; but for the latter, there appear widely accepted distinctions of merits and demerits, and also being complex and not absolutized. This paper, in the light of the purposive evaluation principle, typically discusses the respective evaluation in practice via translation examples.

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