Supply and Demand Forecasting Model of Multi-Agricultural Products Based on Deep Learning
To further improve the simulation and estimation accuracy of the supply and demand process of agricultural products, a large number of agricultural data at the national and provincial levels since 1980 were used as the basic research sample, including production, planted area, food consumption, indu...
Main Authors: | ZHUANG Jiayu, XU Shiwei, LI Yang, XIONG Lu, LIU Kebao, ZHONG Zhiping |
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Format: | Article |
Language: | English |
Published: |
Editorial Office of Smart Agriculture
2022-06-01
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Series: | 智慧农业 |
Subjects: | |
Online Access: | http://www.smartag.net.cn/article/2022/2096-8094/2096-8094-2022-4-2-174.shtml |
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