Abstract
Abstract. Climate change is an important factor in vegetation growth, and it is very significant to understand the relationship between climate change and rice yield. China is a food-importing country whose grain consumption is higher than grain production, and which relies on imports of rice, soybean, wheat and other grains. Therefore, in order to secure food security for 1.6 billion people in China, it is necessary to grasp the relationship between climate change and rice yield. In this study, 16 administrative districts in China were selected and designated as study area. This study used annual rice production from the USDA (United States Department of Agriculture) for each of China’s major administrative regions from 1979 to 2009, as well as average climate data from July to August, which were meteorological observations collected from the CRU (Climate Research Unit). Using this data, the rice crop was increased in 10 administrative regions in China and the reduction in rice harvest in 6 administrative areas was confirmed. The relationship between selected rice production and climate change was nonlinear and modelled using a deep neural network, and the validation statistics showed that the performance of DNN was 32-33% better than that of MLR (multiple linear regression). Therefore, a more quantitative analysis of the relationship between climate change and rice yield changes has been made possible through our prediction model. This study is expected to contribute to better food self-sufficiency in China and forecast future grain yields.
Highlights
Climate change for architecture and food security are effective world-wide, and they are very important for China
Deep Neural Network (DNN) is a kind of artificial intelligence techniques based on a multilayered neural network with input and output layers and a number of hidden layers
The mean absolute error (MAE) was 32% smaller ((1.4041.067)/1.067) and the correlation coefficient was 33% higher ((0.732-0.551)/ 0.551)
Summary
Climate change for architecture and food security are effective world-wide, and they are very important for China. Whole changes of climate change are fairly uncertified, China's large land mass is extended to experience different warmings and probably other changes as well, not quite different from each other's supply and acquisition, 1996 Climate change is an important factor in plant growth. The growth of plants is closely related to food safety. This supply of food is economically related. In China, demand for food consents when China's 1.6 billion people by the year 2030 begin importing granaries (Brown, 1995). Identifying the relationship between climate change and grain yield and predicting future grain yield has become an important part of food safety
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
