Smart agricultural full-cycle planting data cloud sharing platform based on cloud computing and big data analysis

Abstract

The invention discloses a smart agricultural full-cycle planting data cloud sharing platform based on cloud computing and big data analysis. The platform comprises a region division module, a plantingtime acquisition module, a planting time analysis module, an image acquisition module, an image processing module, an image sampling module, an image data measurement module, an image data analysis module, a planting data monitoring module, a planting data analysis module, an analysis server, a cloud database and an early warning display module. According to the method, the growth cycle of the rice in each sub-region in the rice planting region of each region is analyzed, and the stem length of each rice image and each rice planting data in each sub-region in the rice planting region of eachregion are monitored, so the rice growth qualification coefficient in each sub-region in the rice planting region of each region is comprehensively calculated, whether the rice growth in each subareais qualified or not is analyzed, and early warning is performed on the rice with unqualified growth, thereby realizing rice planting data sharing, and promoting the overall agricultural development level.

Description

technical field [0001] The invention relates to the technical field of agricultural data sharing, and relates to a cloud sharing platform for full-cycle planting data of smart agriculture based on cloud computing and big data analysis. Background technique [0002] Agriculture is the foundation of the national economy, agricultural planting data resources are the common wealth of human society, and data sharing is an important driving force for the rapid development of modern science. However, there are still some unavoidable defects in my country's agricultural planting data sharing, especially in rice planting data sharing. [0003] At present, the data sharing level of the existing rice planting data sharing platform is low, and it is impossible to obtain the original planting data of the rice growth process in a timely and effective manner, resulting in insufficient mining, analysis and visualization of the rice planting data on the platform, so that the rice planting da...

AI Technical Summary

Problems solved by technology

However, there are still some unavoidable defects in my country's agricultural planting data sharing, especially in rice planting data sharing.

[0003] At present, the data sharing level of the existing rice planting data sharing platform is low, and it is impossible to obtain the original planting data of the rice growth process in a timely and effective manner, resulting in insufficient mining, analysis and visualization of the rice planting data on the platform, so that the rice planting data cannot be realized. At the same time, the existing rice planting data sharing platform lacks a data sharing standard system, and the data uploaded by planters has different standards and low accuracy, which increases the work intensity of researchers and reduces the enthusiasm and research efficiency of researchers. Affecting the level of rice planting data sharing will affect the overall level of agricultural development. In order to solve the above problems, a smart agriculture full-cycle planting data cloud sharing platform based on cloud computing and big data analysis is now designed

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