Unfortunately, because your browser version is too low to get the best browsing experience, it is recommended to download and install Google Chrome!
At the moment when big data is popular, most of the information is mostly for big data and finance, big data and the internet, big data and e-commerce, and most of these are in industries that can integrate internal and external data. Big data For traditional agriculture , big data can also bring rapid development to it.
The agricultural industry is an industry with time and space attributes, so the state of agricultural-related data is numerous and complicated, and it also runs through the entire industrial chain of agriculture. Including: seeds, pesticides, fertilizers, meteorology, environment, soil, crops, etc. during the sowing process, agricultural product processing during transportation, market management, logistics, and agricultural transactions. The application of big data has also greatly helped the development of agriculture, so what impact does big data have on agricultural production ?
1. Crop development:
Big data accelerates the speed of traditional breeding, reduces the cost of traditional breeding, and allows bioinformatics engineering to make a qualitative leap in genetic histology research.
Big data collects, organizes and analyzes crop genetic data, and then through a series of hypothetical analysis and problem solving, selects a part of seeds for a series of field environmental verification, and finally obtains crops with high calcium, antioxidant, antibacterial, etc.
2. Planting external environment:
The quality of crops is not only due to their own reasons, but also external factors such as soil, climate, and fertilizer volume. Big data collects and organizes environmental and agricultural-related data so that crop varieties can be accurately matched with land.
Big data improves the productivity of crops by acquiring information about climate, soil, pests, and natural disasters from remote sensing satellites and drones, and then making a series of predictions on the information, providing a series of fertilizer recommendations, weather forecasts, and reports And profitability.
： 3. Traceability of agricultural products:
Paying attention to the logistics of agricultural products can further prevent diseases, reduce environmental pollution and increase profits for farmers. The development of logistics makes the supply chain of agricultural products longer and longer, which makes farmers more and more nervous to track and control agricultural products. The involvement of big data allows farmers to more quickly and easily improve the quality of operations and testing. At the same time, big data analysis technology and genomic tools can be used to detect and discover the law of the spread of germs using things as a carrier of transmission, thereby reducing disease.
The impact of big data on agriculture is huge and far-reaching. Although the level of agricultural intelligence in our country has just begun, it has a good prospect in the future, allowing China to make a qualitative leap in agricultural development.
October 9, 2017
Chengdu Xinxin Electronic Technology Co., Ltd. Editorial Department
Editor: Little Devil in Gourd