Innovative Internet Solutions for Suburban Community Farm Practices: A Study in Lowland Communities of Hangzhou, China
Abstract
:1. Introduction
2. The Concept and Development of Permaculture
2.1. The Concept of Permaculture
2.2. Development and Present Situation of Permaculture
3. Literature Review
3.1. Data Sources and Research Methods
3.2. Descriptive Analysis
3.2.1. Time Distribution Law of Research
- From 1980 to 1991, the number of articles published was less than 10, and the increase was small;
- From 1992 to 2010, the growth trend of the number of documents issued fluctuated more than in the previous stage, showing a slow growth trend;
- From 2011 to 2021, the growth rate is greater than that in the first two stages.
3.2.2. Research Network and Characteristics
3.2.3. Research Hotspot and Foundation
- Urban agriculture, including farms, food, etc. Brenda found that urban farms can be used as productive green infrastructures to provide important environmental and social services beneficial to urban communities [27];
- Urbanization, including management, urban landscape, land use, etc. He’s research on the attitude and behavior of Chinese emerging urban community residents on building community gardens and edible landscape shows that most people are willing to participate in community gardening activities [28];
- Impact status, including health status and biodiversity change. Bures proposed that plants can improve building energy efficiency and thermal insulation, improve air quality and increase biodiversity, and contribute to urban sustainability [29].
4. Introduction and Analysis of “Air Vegetable Plot” Project
4.1. Project Development: Advantages of the Project
4.1.1. Location Conditions of the Project Base
4.1.2. Policy Support
4.1.3. Village Tourism Resources
4.2. Feasibility Analysis of the Project
4.3. Main Service Targets of the Project
4.4. Planning Concept of the Project
5. The Construction of Intelligent Agriculture Based on Intelligent Technology
5.1. Intervention of Intelligent Technology
5.1.1. Guidance of Science and Technology
- Seed quality identification. Using three-dimensional image analysis technology to identify the type and quality of crop seeds, effectively improving the quality of agricultural products.
- Intelligent seed sowing and picking. Intelligent sowing of crops through drone equipment and the use of intelligent camera devices to determine the crops suitable for picking, and non-destructive picking through precise drone control.
- Intelligent drip irrigation and spraying. Based on sensor technology and automatic control technology, the soil moisture condition is monitored in real time and the best irrigation strategy is selected based on the climate index obtained from the detection.
- Crop growth monitoring. Incorporate machine learning technology and intelligent analytics in sensor devices to monitor and evaluate crop growth in real time.
- Intelligent equipment control system. The artificial intelligence system unifies the management of the above involved equipment and realizes remote automatic control of the heating and humidifying system, shading and windproof system, and fertilizing and irrigation system, etc.
5.1.2. Improvement of Production Efficiency
- Data sensing collection. By using wireless communication technology to transmit the collected growth environment data (indoor and outdoor environmental information, crop growth status and natural weather conditions) to the system service platform, the system completes the acquisition and analysis of sensor data.
- Intelligent monitoring and analysis. The LED display shows the temporal and spatial distribution of crops in a visual format and provides historical data for reference analysis. It can also monitor and manage the collection equipment and provide a real-time view and control of its operation status.
- Intelligent control management. According to the requirements set by users, there is real-time monitoring of environmental parameters such as temperature, humidity and light, and the use of the intelligent detection of automatic control systems to control the operation of various pieces of equipment, including ventilation control, roller shutter control and pump control, etc., to ensure that all environmental factors remain within the range suitable for crop growth.
5.1.3. Diversification of Industrial Development
- Integrating processing technologies. Transform the traditional single agricultural production model and guide agricultural production bases to create new technology development platforms and agricultural production innovation models. Through this approach, we sought to build an informatized, intellectualized and mechanized agricultural production system.
- Constructing a diversified sales model. Based on the Internet platform, we will guide agricultural bases to accelerate the development of deep processing and cultivate the development mode of “Raw material base + Distribution”, so as to expand the sales mode of products.
- Establishing the whole agricultural industry chain. Based on the implantation of intelligent technology and intelligent IP, we will realize the wisdom transformation of the product base and build an agricultural digital industry that integrates production, treatment, sales, experience and service.
5.2. Construction of Intelligent Agriculture
5.2.1. “Air Vegetable Plot” Intelligent Agricultural Management System
5.2.2. “Air Vegetable Plot” Online and Offline Agricultural Platform
5.3. Sustainability of Agricultural Carbon Footprint
6. Practical Application of the “Air Vegetable Plot” Project
6.1. Operations Strategy of the Project
6.2. The Business Model of this Project
6.3. Zoning Planning of the Project Base
- “Air vegetable plot” delicate vegetable garden.
- 2.
- Vegetable planting landscape belt.
- 3.
- “Air vegetable plot” parent–child paradise.
- 4.
- “Air vegetable plot” market.
- 5.
- Shopping store.
- 6.
- “Air vegetable plot” education classroom.
6.4. Module Architecture of Project Products
6.4.1. “Air vegetable plot” online and offline product module
- Module architecture of the product.
- 2.
- Platform order process.
6.4.2. “Air Vegetable Plot” Intelligent Agricultural Management System
6.5. Project Benefits
- Economic benefits.
- 2.
- Social benefits.
- 3.
- Environmental benefits.
7. Conclusions and Prospects
7.1. Conclusions
7.2. Prospects and Advice
- The combination of urban agriculture and community governance will drive the construction of a green city in ecology, life and production.
- 2.
- Improve the effect of urban land use.
- 3.
- Use the Internet to connect the supply and demand sides of the market and promote the integration of urban and rural areas.
- 4.
- Build a humane community life.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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High Yield Country | High Yield Institution | High Yield Author |
---|---|---|
United States (395) | Chinese Academy of Sciences | Falandysz J |
China (260) | University Of California | Long HL |
UK (153) | Wageningen University | Ma L |
Italy (119) | French National Institute of Agriculture, Food and Environment | Drechsel P |
Germany (113) | Consultative Organization for International Agricultural Research | Jarzynsha G |
Spain (93) | French National Center for Scientific Research | Silibello C |
Canada (83) | Institute of Natural Resources, Institute of Geographical Sciences, Chinese Academy of Sciences | Zhang Y |
Australia (80) | United States Department of Agriculture | Ge D |
Netherlands (80) | University of Copenhagen | Lovell S |
France (74) | China Agricultural University | Specht K |
Tourism Projects | Number | Frequency |
---|---|---|
Ecological leisure | 107 | 31.7% |
Agricultural sightseeing | 67 | 19.8% |
Barbecue | 35 | 10.4% |
Fruit picking | 52 | 15.4% |
Fishing | 31 | 9.2% |
Folk | 16 | 4.7% |
Activities and labor experience | 30 | 8.9% |
Statistical Characteristics | Classification Index | Number of People | Proportion (%) |
---|---|---|---|
Gender | Male | 165 | 48.8 |
Female | 173 | 51.2 | |
Age | Under 20 | 67 | 19.8 |
20–30 years old | 75 | 22.2 | |
31–55 years old | 113 | 33.4 | |
Over 55 | 83 | 24.5 | |
Family relations | Yes | 273 | 80.7 |
No | 65 | 19.3 | |
Romantic relationship | Yes | 210 | 62 |
No | 128 | 38 | |
Occupation | Students | 69 | 20.4 |
Enterprises and institutions | 171 | 50.6 | |
Liberal professions | 33 | 9.7 | |
Retired employees | 65 | 19.2 | |
Domicile | Hangzhou | 150 | 44.3 |
Other cities in Zhejiang province | 115 | 34 | |
Other provinces | 73 | 21.6 | |
Income level | Below 3000 yuan | 107 | 31.6 |
3000–5000 yuan | 32 | 9.4 | |
5000–8000 yuan | 86 | 25.4 | |
Over 8000 yuan | 113 | 33.4 |
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Shi, J.; Guo, Q.; Zhao, X. Innovative Internet Solutions for Suburban Community Farm Practices: A Study in Lowland Communities of Hangzhou, China. Sustainability 2022, 14, 15445. https://doi.org/10.3390/su142215445
Shi J, Guo Q, Zhao X. Innovative Internet Solutions for Suburban Community Farm Practices: A Study in Lowland Communities of Hangzhou, China. Sustainability. 2022; 14(22):15445. https://doi.org/10.3390/su142215445
Chicago/Turabian StyleShi, Jianren, Qiaoyun Guo, and Xiumin Zhao. 2022. "Innovative Internet Solutions for Suburban Community Farm Practices: A Study in Lowland Communities of Hangzhou, China" Sustainability 14, no. 22: 15445. https://doi.org/10.3390/su142215445
APA StyleShi, J., Guo, Q., & Zhao, X. (2022). Innovative Internet Solutions for Suburban Community Farm Practices: A Study in Lowland Communities of Hangzhou, China. Sustainability, 14(22), 15445. https://doi.org/10.3390/su142215445