Image processing-based agricultural intelligent platform

Abstract

The invention discloses an image processing-based agricultural intelligent platform. The image processing-based agricultural intelligent platform comprises an FRID tag, an FRID reader-writer, a data acquisition module, a central server group, a weather collecting module, a data analysis module, and an information pushing module, wherein the FRID is used for marking a producing area and a sale price of a crop; the FRID reader-writer is used for reading information of the FRID tag; the data acquisition module is used for acquiring data and transferring the acquired data to the central server group; the central server group stores the received data into a database, and meanwhile the database saves agricultural yield over the years and market average prices of the crops in the current year of each place in the whole country; the weather collecting module is used for collecting weather information; the data analysis module is used for retrieving the data from the database, outputting the yield-price curve chart of the agricultural product according to the data saved in the database, predicting the yield and the price in the current year according to the yield-price curve chart, and meanwhile drawing the planting map in the current year; the information pushing module pushes the yield-price curve chart and the planting map predicted by the data analysis module to a user side. The image processing-based agricultural intelligent platform has the advantage of avoiding the grain waste.

Description

technical field [0001] The invention relates to the field of intelligent agriculture, in particular, to an agricultural intelligence platform based on image processing. Background technique [0002] At present, with the development of urbanization and information intelligence, intelligent agriculture will become the development direction of agriculture. The existing agricultural production is very subjective. Farmers often choose the plants of the year based on their experience in previous years, such as the price of garlic last year. Expensive, it will cause many growers to follow the planting this year, resulting in excess production of garlic in that year and a drop in price, thus causing huge economic losses to farmers and huge food waste, and the excess of one crop often causes another. shortage of crops. SUMMARY OF THE INVENTION [0003] The purpose of the present invention is to provide an agricultural intelligence platform based on image processing in view of the ...

AI Technical Summary

Problems solved by technology

[0002] At present, with the development of urbanization and information intelligence, intelligent agriculture will become the development direction of agriculture. The existing agricultural production is very subjective. Farmers often choose the plants of the year based on the experience of previous years. For example, the price of garlic last year If it is expensive, it will cause many growers to follow the planting this year, resulting in excess garlic production that year and a drop in price, which will cause huge economic losses to farmers and huge food waste, and the surplus of one crop will often cause another. shortage of crops