Agricultural and rural ecological management system based on big data in complex system

Chen, Fazheng; Hu, Yuanhong

doi:10.1016/j.eti.2021.101390

Cited by 12 publications

(5 citation statements)

References 20 publications

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“…Rural agroecosystems have an important impact on the development of China's economy, society and ecological environment at any time. Chen, F [21] took big data as the research background and based on the complex system theory to construct an indicator system for the ecological management system of rural agroecosystems. The fertilizer was used in the experiment, and the consumption, water pollution degree, pest and disease degree, carbon and nitrogen absorption and agricultural economic benefit of the rural agricultural ecosystem in a certain area were taken as the systematic indicators of the ecological management system.…”

Section: Table 1 Main Modes Of Green Ecological Agriculturementioning

confidence: 99%

Analysis of digital information management of green ecological agriculture in the Northeast of my country under the environment of Agricultural products e-commerce

Zhang

2023

3C Empresa

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With the rapid development of China's regional agriculture, its consumption of energy, the squeezing and encroachment of the environment and the pollution of the ecological environment have been put on the agenda, which stems from the unreasonable management and regulation of the rapidly developing agricultural infrastructure. Aiming at the evaluation index cluster of agricultural management in Northeast China, the main structure of the digital information management platform of green ecological agriculture we built is divided into the variable layer, middle layer and evaluation index layer, which is a superimposed and progressive layer structure design. The results show that compared with 2018, the use index of electronic agricultural products, per capita greening index, soil organic matter content index and per capita water content index increased by 30.34%, 6.14%, 25.34% and 30.26% respectively in 2019. The index of per capita desert land area decreased by 10.97%. The Sustainability Index experienced an unusual decrease in 2017-2018, with a drop of 0.08. Compared with 2018, the green ecological index from 2019 to 2021 increased by 5.94%, 8.58% and 12.87% respectively. This guides the structure and design of China's future agricultural development.

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Section: Table 1 Main Modes Of Green Ecological Agriculturementioning

confidence: 99%

Analysis of digital information management of green ecological agriculture in the Northeast of my country under the environment of Agricultural products e-commerce

Zhang

2023

3C Empresa

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“…Fertilizer consumption, water pollution level, pest and disease level, carbon and nitrogen uptake, and agricultural economic benefits of rural agroecosystems in a region were used as the system indicators of the ecological management system. The relevant data in the network were collected and processed by using data mining technology in big data, and the agroecosystem was analyzed and understood through the complex network, and the data of each indicator was finally calculated and analyzed [26].…”

Section: Literature Reviewmentioning

confidence: 99%

The Evolutionary Game of Cooperative Air Pollution Management under Complex Networks

2022

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In this paper, based on complex networks and evolutionary game theory, we use Text Mining and Analytics, MATLAB Simulation, and other technical means to study the decision-making process of each subject in the collaborative air pollution management network, taking the “limited rational” local government as the decision-making subject of the evolutionary game. The study finds that the cooperative network of small-scale air pollution management is a very important element in the evolutionary process. The small-scale air pollution collaborative governance network has the effect of significantly improving the evolution speed of local government collaborative governance decisions in the network. It can better mobilize local governments to participate in collaborative air pollution governance and realize the cooperative emergence with the ratio interval of income heterogeneity in [0.6, 1], preference heterogeneity in [1.2, 1.4], and allocation heterogeneity in [0.6, 1]. The results of the study are consistent with the actual situation, which verifies the validity and operability of the model. Finally, the article also proposes countermeasures to improve the dilemma of air pollution synergy caused by regional heterogeneity.

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“…Planting management, climate change, and market demand constitute the big data of agricultural production. According to the results of cloud computing, we can effectively predict the crop yield, climate change, and optimal marketing strategies (Chen and Hu 2021; Ania and Samuel, 2021; Evstatiev and Gabrovska 2021). Big data and cloud computing also support operation of the IoT.…”

Section: Smart Horticulture Is the Trend Of The Futurementioning

confidence: 99%

Combining novel technologies with interdisciplinary basic research to enhance horticultural crops

et al. 2021

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SUMMARY Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea trees (Melaleuca alternifolia). They produce a variety of nutrients for the daily human diet in addition to the nutrition provided by staple crops, and some of them additionally possess ornamental and medicinal features. As such, horticultural crops make unique and important contributions to both food security and a colorful lifestyle. Under the current climate change scenario, the growing population and limited arable land means that agriculture, and especially horticulture, has been facing unprecedented challenges to meet the diverse demands of human daily life. Breeding horticultural crops with high quality and adaptability and establishing an effective system that combines cultivation, post‐harvest handling, and sales becomes increasingly imperative for horticultural production. This review discusses characteristic and recent research highlights in horticultural crops, focusing on the breeding of quality traits and the mechanisms that underpin them. It additionally addresses challenges and potential solutions in horticultural production and post‐harvest practices. Finally, we provide a prospective as to how emerging technologies can be implemented alongside interdisciplinary basic research to enhance our understanding and exploitation of horticultural crops.

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Agricultural and rural ecological management system based on big data in complex system

Cited by 12 publications

References 20 publications

Analysis of digital information management of green ecological agriculture in the Northeast of my country under the environment of Agricultural products e-commerce

Analysis of digital information management of green ecological agriculture in the Northeast of my country under the environment of Agricultural products e-commerce

The Evolutionary Game of Cooperative Air Pollution Management under Complex Networks

Combining novel technologies with interdisciplinary basic research to enhance horticultural crops

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