Output prediction method, server and computer readable storage medium

Abstract

Embodiments of the invention relate to the agricultural field and disclose an output prediction method, a server and a computer readable storage medium. The method is characterized by through a crop sales volume and / or a client evaluation, acquiring crops that a client likes, and taking the acquired crops that the client likes as target crops; acquiring a quantity of the target crops in a preset area and acquiring weight data of a single target crop in the preset area; and according to the quantity of the target crops and the weight data of the single target crop, acquiring a crop prediction output of a batch which the target crops belong to in the preset area. The user can know the accurate prediction output of the crops that the client likes, and then according to the prediction output,a plantation plan is adjusted, which is good for increasing user incomes.

Description

technical field [0001] Embodiments of the present invention relate to the field of agriculture, and in particular, to a yield prediction method, a server, and a computer-readable storage medium. Background technique [0002] In the prior art, in order to predict the yield of crops planted on land, the yield of crops in the next year's harvest is usually analyzed through factors such as climate, soil, crop growth cycle, plant quality, etc. combined with the yield data of past crops. When predicting crop yield, the yield of all crops in the delimited area is usually predicted. For users, knowing the yield of crops in advance can make follow-up work plans based on the predicted yield in time, such as arrangements for transportation, operation and marketing. At present, it is common in China to predict the annual crop yield per mu of land based on the weight of a single fruit, the number of fruit ears per plant and the number of plants per mu. [0003] The inventor found that ...

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Problems solved by technology

[0003] The inventors have found that there are at least the following problems in the prior art: the prediction in the prior art depends on uncertain factors such as climate and plant quality, and the prediction period is basically long, so that the prediction results are not accurate and the deviation is large, and the prediction cannot be achieved. Effective assistance in improving planting methods

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