A livestock yield prediction method and system based on energy balance of grass and livestock

Abstract

The invention discloses a method and system for predicting the yield of livestock based on energy balance of forage grass and livestock. The method comprises the steps that livestock data is acquired;according to the livestock data, the weight growth amount of the livestock is calculated; according to the weight growth amount of the livestock, the nutritional requirements of the livestock is calculated; pasture data and supplementary feeding data are acquired; according to the pasture data and the supplementary feeding data, the total metabolic energy of the forage grass is calculated; according to the nutritional requirements of the livestock, the total metabolic energy of the forage grass and the feeding duration of the forage grass, the optimal grazing capacity is calculated; accordingto the optimal grazing capacity and the weight growth amount of the livestock, the yield of the livestock is predicted. The method or system can predict the yield of the livestock from the perspective of the balance of energy supply and demand of the forage grass and livestock to improve the prediction precision and accuracy.

Description

Technical field [0001] The invention relates to the field of livestock output prediction, and in particular to a livestock output prediction method and system based on the energy balance of forage and livestock. Background technique [0002] Natural pasture is one of the main feed sources for livestock raising. The difference in the nutritional quality of different grassland types directly affects the growth and development, meat quality and yield of livestock, and indirectly affects the economic cost and market price of beef cattle breeding. The current research on forage-livestock balance mainly focuses on the calculation of livestock carrying capacity based on grass production and livestock intake, but does not take into account the limitation factors such as different grassland types, pastures, and livestock species composition to estimate the livestock carrying capacity. influences. With the increase of residents’ beef consumption year by year, the existing supply cannot b...

AI Technical Summary

Problems solved by technology

Current research on grass-livestock balance mainly focuses on the calculation of livestock carrying capacity based on grass production and livestock feed intake, but does not take into account the limited factors such as different grassland types, pastures, and livestock species composition for the estimation of livestock carrying capacity. influences

With the increase of residents' beef consumption year by year, the existing supply cannot accurately estimate and predict the beef output. Supply is a powerful guarantee to balance the supply and demand relationship in the meat market and stabilize the price of meat market. Forecasting, so the current forecasting precision and accuracy is very low

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