A piece of farmland, three-dimensional planting, both rice leaf fragrance, but also play with fish and turtles, soft-shelled turtle sun ... This is a beautiful picture of ecological integrated planting. However, the beauty of the picture does not necessarily bring substantial income to the farmers. The goal of “a thousand kilograms of grain per mu and an income of 1,000 yuan†requires the assistance of high technology.
From August 29 to 30, the “Provincial (Anhui) Advance Rice and Fishery Integrated Planting Development Conference and Video Conference on Agricultural Structure Adjustment†(referred to as the on-site conference) was held in Wuhu, Anhui Province. We have shown to the Anhui Provincial Agriculture Commission and the leaders of more than 50 cities and counties in the province that the big data plays an active role in boosting ecological integrated planting.
1. The data supports the main body of the business to make more effective cultivation
How big data can boost the development of eco-agriculture, and there are no cases where it is difficult to be convinced. Haomo Science and Technology Co., Ltd. are two demonstration sites in Fanchang and Nanling in Wuhu, Anhui Province. They are technical support based on the love farmland digital farmland management system (referred to as love farmland) and the big data platform developed by Haomo Science and Technology Co., Ltd., and link the entire agricultural industrial chain through big data linking. Every link in production, processing, transportation and sales creates an ecological closed-loop system from production to sales.
At the two-and-a-half mu demonstration base in Nanling and Fanchang, farmers can use their love of farmland to collect real-time data on agricultural production – such as farmer owner information, plot size, plant species, planting time, and soil testing data. Information on fertilization and pesticide application, agricultural activity information, etc., and through the platform of the Agricultural Big Data Center, the data were cleaned, accounted for and analyzed, and the results were formed to guide production, improve the efficiency of agricultural production, save production costs, and improve the quality of agricultural products.
In terms of field management, farmers can systematically manage large areas of farmland through the system, view weather forecasts for the next few hours in the farm to the next few days, record and arrange agricultural activities, and establish localization based on soil nutrient data, weather data, and systems. The crop growth model and the fertilization model can automatically remind and advise farmers of what agricultural activities they should do next and help farmers better make decisions in the agricultural production process.
In the prevention and control of pests and diseases, love farmland can connect agrochemical experts, agricultural technicians, and farmers together. Farmers encounter diseases, pests and weeds. They can upload pictures and GPS coordinates in time, and are diagnosed online by agricultural technicians and experts. Guiding opinions and recommending social service companies. At the same time, peasant households can also make appointments for specialists to perform on-site service.
The occurrence of some major pests and diseases is closely related to the local meteorological conditions. Love farmland can use the data mining technology based on geographical location, planting varieties, crop growth period, weather conditions, and other data to create pest prevention and forecast models, and regularly remind farmers of pest occurrence time, probability and prevention methods. Help farmers to actively prevent pests and diseases. In particular, the impact on the yield and quality of rice for diseases at the ear stage is relatively large. The system utilizes satellite remote sensing images and UAV remote sensing images. Combined with remote sensing technology and big data analysis technology, it can accurately calculate the heading date of each paddy field and can help achieve more accurate disease prevention. For diseases at the ear stage, it is possible to fight drugs 15 days in advance for prevention, thus ensuring that the output of agricultural products is not reduced by the impact of disasters.
By loving the farmland, not only can we record and control production data including the use of input products, we can achieve efficient, environmentally friendly green production. We can also record the most effective number of people per acre of land by recording agricultural activities and form a “cost-effectivenessâ€. The highest model of cooperation between people and capital forms the value of demonstration and promotion.
2, data support production and sales are connected
From the production end to the sales end, the application of big data can truly solve the problems of increasing agricultural income and farmers' income. Haomo technology collects data through love of farmland, establishes a full-scale quality traceability system, digitalizes brand endorsements for agricultural products, matches market demand, and conducts customized agricultural production according to high standards, laying the foundation for sales.
Haomo Science and Technology's big data supports the ecological agricultural industrialization project. It collects data through the Internet of Things (IoT) hardware device for 24 hours, records the entire growth process of agricultural products, uploads the data to love farmland, and realizes online data. Through the agricultural big data platform, the data was cleaned and analyzed and the results were obtained. On the one hand, the results are combined with the industry standard system of Haomo Premium Products to generate a product analysis report. Consumers can scan two-dimensional codes, enter the traceability page, view the information on the whole process of growing agricultural products, and realize complete traceability of agricultural products; on the other hand, generate data-based licensing services based on the results to help the government implement supervision, early warning and guidance on agricultural production. Food security and food safety provide protection. Not only did it achieve a close link between production and sales, but it also helped the government achieve agricultural supervision and lay the foundation for zero growth of pesticides and fertilizers by 2020.
3, data support more orderly agricultural production and operation
To realize agricultural industrialization, it is inseparable from moderately scaled operations. However, for farmers, if they want to expand their production scale and carry out orderly operations, they must have certain financial support. However, unsecured, high-risk and complicated procedures are the reasons why rural inclusive finance is difficult to promote in large areas. In this regard, the usefulness of big data has once again been highlighted. Through the collection and comparison of farmers' basic data, production data, and credit data, the growth potential of farmers' production value can be estimated, and a credit model can be established to solve the capital problem easily.
In addition to funds, in the aspect of agricultural resources and information, Haomo technology can also integrate resources through the big data platform, provide high-quality agricultural resources and the latest and most authoritative information for farmers, and realize the “three types of funds†in funds, agricultural resources, and information to ensure Agricultural production and management proceeded in an orderly manner.
In addition, through the love of farmland, large households can obtain the demand for various services in the agricultural production process, which can help large households to link agricultural machinery, agricultural technology, farming, and various other social services.
4, data support supply side reform has a grasp
As we all know, the spring does not know what kind of good, autumn does not know what to sell expensive, is one of the farmers' biggest pain point. This year's "Document No. 1" emphasizes that we must use advanced technologies such as big data and the Internet of Things to carry out structural reforms on the supply side so as to seamlessly link production and demand. In this regard, the role of big data can not be ignored. Through the real-time collection, accounting and excavation of two data lines in the region and even across the country—agricultural market data and agricultural production data, the agricultural production is forced by market demand, and regional development, especially the development of county agricultural production The unit will make reasonable adjustments to the agricultural structure according to the needs, and will then seamlessly connect production and demand.
For example, in the development of comprehensive ecological cultivation of rice, shrimp, and rice bran, Haomo technology acquires target market demand data, inventory data of surrounding markets of demonstration bases, and meteorological data through the collection of data, and when integrated agricultural products are marketed, The ratio of supply and demand, including stock and regional ratios, is calculated to ensure product sales. Then through the full quality traceability system, to achieve a high premium.
The Central Document No. 1 this year clearly stated that it is necessary to take the path of modern agricultural development with high output, product safety, resource conservation, and environmental protection. Product safety, resource conservation, and environmental friendliness are the concept of ecology. Productivity is to be ecologically efficient. The Hummer Science and Technology big data project aims to link the entire agricultural industry chain through data applications and services to achieve accurate production. Through the full quality traceability and high quality product output, the ecological closed-loop system from production to sales is realized. Connected with Anhui gas, suitable for the Jianghuai water and soil, taking the regional development as a starting point, build a demonstration effect and achieve nationwide promotion.
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