Agricultural unmanned aerial vehicle crop precision nutrition system and method based on artificial intelligence

Abstract

The invention belongs to the technical field of intelligent agricultural management, and particularly relates to an agricultural unmanned aerial vehicle crop precision nutrition system and method based on artificial intelligence. The system comprises a central workstation, an intelligent user side and a cloud side system. The central workstation adopts an agricultural unmanned aerial vehicle to perform agricultural information collection, and completes but not limited to agricultural services which comprises data transmission and nutrient supply; the intelligent user side is used for displaying information, collecting abnormal seedling condition images and purchasing nutrition supply service; the cloud system processes and analyzes the information, and the trained artificial intelligence model can output highly-experienced crop nutrition supply schemes and other agricultural operation suggestions. The invention provides two stages of agricultural data collection and analysis processes,and an analysis object is reduced from a large-scale agricultural planting area to a small-scale problem partition, so that the pertinence and accuracy of an agricultural chemical service scheme obtained by data analysis are gradually improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent agricultural management, and in particular relates to an artificial intelligence-based agricultural UAV crop precision nutrition system and method. Background technique [0002] Traditional agricultural production cannot efficiently monitor crops in large-scale planting areas, nor can it implement targeted nutrient supply for plots with different soil moisture and crop seedling conditions. While consuming a lot of labor costs, it may lead to crop failure. Nutritional imbalance reduces agricultural production efficiency and the quality of agricultural products, and even causes environmental problems such as arable land consolidation and soil acidification. [0003] As recorded in the Chinese invention patents with patent numbers CN201610024995 and CN201910298983 in the prior art, agricultural drones have been widely used in the field of agricultural automation for agricultural data collection, ...

AI Technical Summary

Problems solved by technology

This may lead to incomplete analysis of agricultural conditions, resulting in a large waste of agricultural resources for the overall agricultural operations in the planting area; secondly, due to the differences in the planting environment, the background standard data preset by the system cannot always guarantee its professionalism, Accuracy, geographical applicability, coupled with the uneven ability of standard data makers, standard data may not provide effective data reference; third, in order to obtain data and images that can accurately reflect agricultural conditions, it is necessary to comprehensively consider flight time and flight radius , flight height, collection accuracy, data analysis capabilities, and a series of professional issues may require agricultural experts and drone operators to make multiple flight plan adjustments throughout the crop growth cycle, so that labor costs will rise instead of falling; in addition, no Humans and machines are extremely susceptible to climate conditions, and unpredictable weather conditions may lead to increased flight risks and maintenance costs; and limited by their load capacity, agricultural drones are quite limited in practical applications as a tool for aerial nutrition operations

Therefore, for the long-term intelligent detection of agricultural conditions and intelligent agrochemical services, if only the agricultural UAV system is used as technical support, it is difficult to guarantee the accuracy of data, the effectiveness of the program, and the controllability of costs.

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