Crop output prediction method and system, computer device and readable storage medium

Abstract

The invention provides a crop output prediction method and system, a computer device and a computer readable storage medium. The prediction method comprises the following steps: collecting first-stage pictures of a target crop in a first preset period to extract first-stage characteristic information of the target crop; with a pre-established planting model and the first-stage characteristic information being combined, predicating ripening time of the target crop; collecting second-stage pictures of the target crop in a second preset period to extract second-stage characteristic information of the target crop; obtaining environment information of the target crop in the second preset period; and analyzing the second-stage characteristic information and the environment information to predicate daily output of the target crop. The method can accurately predicate the ripening time and daily output in the ripening period of the crops based on the environment information and the crop picture characteristic information, thereby preventing waste of manpower and material resources of a harvesting plan made based on inaccurate prediction information, and improving user experience.

Description

technical field [0001] The present invention relates to the field of crop planting, in particular to a crop yield forecasting method, a crop yield forecasting system, computer equipment, and a computer-readable storage medium. Background technique [0002] With the rapid development of facility agriculture, more and more greenhouses and greenhouses have installed video surveillance systems. Managers and users can obtain video surveillance information and understand the growth of crops; home planting such as planting boxes and planting cabinets are also gradually emerging. The internal camera, combined with the terminal APP, can check the growth of crops at any time. [0003] The current harvest planning is mainly as follows: the planters mainly estimate the harvest time and arrange the harvest based on the initial planting time and the growth cycle of the crops (such as tomatoes mature in about 60 days, cucumbers mature in 45 days to 50 days in autumn). personnel to harvest...

AI Technical Summary

Problems solved by technology

However, the following problems exist in predicting the maturity time of crops according to the growth cycle of crops, and then arranging harvesting and distribution: first, the growth cycle is relatively general and cannot be accurate to the specific harvesting time; second, the growth of crops is affected by environmental factors. The environment affects the growth cycle of crops; thirdly, the maturity time of crops planted in the same batch may be inconsistent, such as cucumbers planted at the same time, on the one hand, due to the problem of nutrient solution supply, the harvest time of the same flowering period is inconsistent, on the other hand, different flowering periods Inconsistent harvesting time

Based on the above problems, it is difficult for planters to accurately judge the harvest time and the daily output during the harvest period

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