Abstract
Under the China’s increasing attention to the technological innovation of agricultural production, all kinds of agricultural information have exploded on the internet, and agricultural informatization has developed rapidly. The related information has spread all over the whole network, which makes it gradually difficult to extract useful information from the network. To solve the deficiency of information classification ability of traditional agricultural information collection methods, the classification method of agricultural information is optimized, to realize searching the required agricultural information quickly. At first, the study introduces Deep Learning (DL) technology and the Internet of Things (IoT) and their advantages. Then, based on Bayesian Networks (BN) and Decision Tree (DT) algorithm, the agricultural information classification model is implemented and trained. Using various agricultural economic development theories, analyzation is made on the present situation of domestic agricultural informatization development. Finally, the advantages are put forward of agricultural production informatization development and economic management development based on IoT technology. The research results show that, the agricultural information classification model based on DL and IoT technology can accurately select the required effective information from the network, and the application of IoT technology in agricultural production big data plays an important role in production and economic management. Therefore, the agricultural information classification model based on DL and IoT technology can make an effective and accurate judgment on the classification of agricultural information, and then provide a focus for agricultural production and economic development. A new idea is provided for the application of new technologies in agricultural production and management.
Highlights
Since the 14th National Congress of the Communist Party of China, the country has put forward the strategy of rural revitalization, demanding to stand on the new starting point of building a well-off society in an all-round aspect, deepen the rural reform in 2000, and realize the comprehensive and organic connection between the achievements of poverty alleviation and rural revitalization, defining the new goals and new orientation of agriculture, rural areas and farmers during the 14th Five-Year Plan period
The fundamental purpose of studying the problems of agriculture, rural areas and farmers is to solve the issues of increasing agricultural income, agricultural development and rural stability, because the issues of agriculture, rural areas and farmers cannot be separated from the improvement of agricultural production and management technology [1]
A classification model for identifying and classify agricultural information is implemented by using Deep learning (DL) technology and Internet of Things (IoT), the application of IoT technology in agricultural production and economic management improves the real-time and accuracy of obtaining effective agricultural information, and lays a foundation for the subsequent research of related work
Summary
Since the 14th National Congress of the Communist Party of China, the country has put forward the strategy of rural revitalization, demanding to stand on the new starting point of building a well-off society in an all-round aspect, deepen the rural reform in 2000, and realize the comprehensive and organic connection between the achievements of poverty alleviation and rural revitalization, defining the new goals and new orientation of agriculture, rural areas and farmers during the 14th Five-Year Plan period. DL and Internet of Things (IoT) have a strong development prospect in the fields of collecting and classifying agricultural information, managing agricultural production and economy [5,6]. Chen et al (2020) studied the application of DL in environmental monitoring, and put forward a method to classify agricultural information by constructing a DL model using neural networks [12]. A classification model for identifying and classify agricultural information is implemented by using DL technology and IoT, the application of IoT technology in agricultural production and economic management improves the real-time and accuracy of obtaining effective agricultural information, and lays a foundation for the subsequent research of related work. Agricultural information classification and related technologies of agricultural production management
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