On the eve of the 4.0 era of agriculture, the three main elements of China's agricultural production have quietly changed. The traditional image of the farmer has been abandoned, and the power of science and technology has made the rural labor force become "new farmers online". The new agricultural big data platform tools in their hands can already monitor soil, weather, crop and other data at any time.

Predicting the future and helping farmers make choices. Precision agriculture is one of the most commonly used areas of big data in agriculture. In precision agriculture, control centers collect and process data in real time to help farmers make the most informed decisions about planting, fertilizing and harvesting crops.

Big data is used in agriculture in the following ways:

1. Big data accelerates crop breeding

Traditional breeding tends to be expensive and labor intensive, taking a decade or more. Big data accelerates the process.

2. Data-Driven Precision Farming Operations

Agriculture is very complex, with a variety of factors such as crops, soil, climate, and human activity interacting with each other. Growers are able to precisely match crop varieties to plots by selecting different crop varieties, production inputs, and environments, and conducting field plot trials under hundreds of farm, soil, and climate conditions.

3. Big Data Enables Traceability of Produce

Tracking produce from farm to consumer can help prevent disease, reduce contamination, and increase profits. As global supply chains grow longer, tracking and monitoring produce becomes increasingly important. Big data can improve warehouse storage and retail store operations.

4. Big data reorganizes the supply chain

Large agribusinesses have significant R&D funding and mechanisms that make it easier for them to develop new products using complex technologies.

Whoever seizes this opportunity will have the initiative in the market. Just as Google has changed many industries, taxi software has changed the way people travel.