Big data helps the farm return ten thousand mu of wheat to the warehouse in one day.

Deqiang Farm in Lingcheng District, Dezhou City, Shandong Province, all ten thousand mu wheat grains returned to the warehouse within one day. Feng Shuqiang, general manager of the farm, said with emotion: "Big data helped me a lot!"

At Deqiang Farm, the application of IoT and big data makes it more like a factory. The farm has built the only officially operating field agricultural Internet of Things in the province. It has six systems: information center, pumping station monitoring, hour sprinkler monitoring, meteorological station, video safety monitoring and moisture monitoring. It has built a modern farm system integrating five networks: "water network, power grid, road network, forest network and information network". As a central control platform, the information center directly "links" the Provincial Academy of Agricultural Sciences and carries out real-time monitoring and control on the other five systems. It provides important data for scientific crop management. The farm records all a series of operations with the Internet of Things, and carries out big data analysis through self-developed software to calculate the best manpower and material allocation for farming, harvesting and other operations, so as to reduce cost investment and maximize benefits.

"We started monitoring wheat and soil moisture many days ago. Today, the moisture content of wheat has dropped below 14%, reaching the optimal harvest standard and can be directly stored." Feng Shuqiang said,"And we collect last year's wheat harvest data on the basis of the farm field roads, harvesting routes, material-human ratio and so on for the best ratio." Under this optimized design, the number of grain trucks invested in the whole farm has been reduced from 214 last year to 180 this year, the number of refueling vehicles has been reduced by 2 compared with last year, and the number of service personnel such as quality inspection, weighing, warehousing and guidance has also been reduced by 18% compared with last year.

As for how refueling trucks and maintenance personnel can supply oil and maintain them in the shortest time, how to coordinate quality inspection and weighing to make wheat enter the warehouse as soon as possible, etc., big data gives the most accurate answer. Although the input of manpower and material resources has been reduced, the operation efficiency has been greatly improved. Last year, it took two and a half days to harvest ten thousand mu of wheat, but this year it took only one day. The total cost of wheat harvest was reduced by more than 20% compared with last year.