1. Use digital technology and information technology to promote the transformation, upgrading and modernization of agricultural production methods;
2. Digital agriculture applies technical means such as big data, cloud computing, and the Internet of Things to achieve goals such as precision agriculture, smart agriculture, and green agriculture;
3. Provides multiple functions, including intelligent sowing, precise fertilization, agricultural product sales, etc.
1. The intelligent seeding function provides farmers with planting suggestions by identifying soil conditions, temperature, humidity and other factors;
2. The precise fertilization function provides farmers with reasonable fertilization plans by detecting soil nutrients, nitrogen, phosphorus and potassium content and other information;
3. The agricultural product sales function provides farmers with a wider range of sales channels through a combination of online and offline methods.
1. It can help agricultural production service companies and farmers conduct centralized management, analysis and application of data;
2. The agricultural big data platform collects data from various aspects such as planting, breeding, purchasing, and sales;
3. Conduct precise analysis through big data analysis, artificial intelligence and other technical means to provide farmers with reference decision-making support.
1. It also provides practical functions such as plant protection warning, weather forecast, and market analysis to assist farmers in agricultural production;
2. Digital agriculture and agricultural big data platforms integrate digital technology, information technology, artificial intelligence and other technical means;
3. Aims to provide farmers with more convenient, efficient, and accurate digital agricultural production services to assist agricultural modernization.