Smart Agriculture: The furture of farming
Agricultural technologies are being developed to increase productivity and overcome the chemical, biological and socio-economic constraints associated with crop production systems.
There has been an growing awareness over the past three decades that innovations need to be adapted to farmers’ circumstances and potential sustainability targets, including climate change predictions.
Artificial intelligence (AI)
In agricultural production, the most innovative part of digital transformation is the ability to use artificial intelligence (AI) in data mining and analysis to predict trends and warn unusual situations, helping people to Producers can make decisions even before the start of the season.
The AI system can predict which traits and genes are best for crop production based on soil and climate characteristics. The application of IoT in the agricultural sector has great potential. The sensors placed in the fields together with image recognition technology allow farmers to see their crops anywhere in the world. Sensors keep farmers real-time up-to-date, so they make the right changes to their crops.
Unmanned aircraft (UAVs)
Many agricultural enterprises in Vietnam have applied robots in agriculture which can improve efficiency, leading to higher and faster productivity. In particular, unmanned aircraft (UAVs) used by many businesses and cooperatives to spray plant protection products can significantly reduce the use of live labor. Around the world, robotics technology and drones are developing very rapidly. When a farmer works on a field of dozens of acres, there is only an aerial view of his farm.
Drones are being used to monitor crops popular across the United States. This device produces holograms to predict soil quality, through analysis and modeling of crops on the farm. Several companies are experimenting with guiding robots with lasers and cameras to recognize and pluck weeds without human intervention.
Product traceability
Due to requirements on food safety and quality of agricultural products, businesses and cooperatives must comply with the transparency of information and product origin. Currently, the means of tracing the electronic origin of agricultural products such as QRCode, blockchain … Now, when buying and using agricultural products and foodstuffs, consumers are not only interested in the design, product quality, but also Also need to know, where the raw materials produce that product, how the product is manufactured …
Traceability stamps not only help consumers know information about agricultural products and foods they buy and consume, but also help businesses track consumers. When a consumer buys a product and they scan the tracking stamp with their phone to read the information they are interested in, the manufacturer also knows information such as where the user is, and the consumption habits. come on …
Collecting information and analyzing consumer behavior helps manufacturers to retrieve consumer information and come up with a better approach to customers. Currently, on many sales websites using artificial intelligence integration, when the consumer clicks on the website, the manufacturer can know information such as how long the consumer viewed this product. from where and when. From there, offering a suitable marketing program for customers.
Precision Livestock Farming
As in the case of precision agriculture, smart farming techniques enable farmers better to monitor the needs of individual animals and to adjust their nutrition accordingly, thereby preventing disease and enhancing herd health. Large farm owners can use wireless IoT applications to monitor the location, well-being, and health of their cattle. With this information, they can identify sick animals, so that they can be separated from the herd to prevent the spread of disease.
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