Plant yield prediction method and apparatus

Abstract

Embodiments of the invention relate to the technical field of agriculture and disclose a plant yield prediction method and apparatus. The plant yield prediction method comprises the steps of obtainingseedling culture time, wherein the seedling culture time is determined according to data returned by detection of a seedling culture detection apparatus; and according to the seedling culture time, growth durations and survival rates of a plant in growth links, a seeding quantity, a picking interval and single yield of the single plant, determining plant yield in first time, wherein the growth links of the plant include a seedling culture link and a field planting link. The yield of the plant at a time can be predicted, so that the process of manually inputting related data of the growth links of the plant is removed, the recording and statistical errors are avoided, and a more accurate plant yield prediction value is provided.

Description

Technical field [0001] The embodiment of the present invention relates to the field of agricultural technology, in particular to a method and device for predicting plant yield. Background technique [0002] With the development of agricultural technology, there are more and more varieties of various plants and higher and higher yields. In order to better plan the production of plants, people often predict the output of plants and then adjust production strategies. At present, most production forecasts rely on manual methods. Plant protection personnel manually record each growth link of the plant and related data, and then estimate the expected output of each growth process or different time period through production experience, and then accumulate item by item to obtain the output forecast value. [0003] However, the inventor found that there are at least the following problems in the prior art: due to the large number of plant types or batches, the time period from each batch ...

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Problems solved by technology

[0003] However, the inventors have found that at least the following problems exist in the prior art: due to the large number of plant types or batches, the time period from each batch to actual production is different, and the plant protection personnel cannot dynamically predict the plant yield; and, the plant protection personnel Manually recording and counting the relevant data of each growth link requires a lot of work, and there are many types of data, which is prone to recording and statistical errors, resulting in deviations in the output prediction value

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