{"id":1988,"date":"2025-10-30T14:20:29","date_gmt":"2025-10-30T18:20:29","guid":{"rendered":"https:\/\/wp.well-e.org\/publication\/a-model-for-the-prediction-of-lifetime-profit-estimate-of-dairy-cattle-student-abstract\/"},"modified":"2026-05-02T03:44:54","modified_gmt":"2026-05-02T07:44:54","slug":"a-model-for-the-prediction-of-lifetime-profit-estimate-of-dairy-cattle-student-abstract","status":"publish","type":"publication","link":"https:\/\/wp.well-e.org\/fr\/publication\/a-model-for-the-prediction-of-lifetime-profit-estimate-of-dairy-cattle-student-abstract\/","title":{"rendered":"A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract)"},"content":{"rendered":"<p><strong>Authors:<\/strong> Vahid Naghashi and Abdoulaye Banire Diallo<\/p>\n<p><strong>Date:<\/strong> 2022-06-01<\/p>\n<p><strong>Status:<\/strong> Published<\/p>\n<p><strong>DOI:<\/strong> 10.1609\/aaai.v36i11.21647<\/p>\n<p><a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/21647\" target=\"_blank\" rel=\"noopener\">View External Publication<\/a><\/p>\n<hr>\n<p>In livestock management, the decision of animal replacement requires an estimation of the lifetime profit of the animal based on multiple factors and operational conditions. In Dairy farms, this can be associated with the profit corresponding to milk production, health condition and herd management costs, which in turn may be a function of other factors including genetics and weather conditions. Estimating the profit of a cow can be expressed as a spatio-temporal problem where knowing the first batch of production (early-profit) can allow to predict the future batch of productions (late-profit).<br \/>\nThis problem can be addressed either by a univariate or multivariate time series forecasting. Several approaches have been designed for time series forecasting including Auto-Regressive approaches, Recurrent Neural Network including Long Short Term Memory (LSTM) method and a very deep stack of fully-connected layers. In this paper, we proposed a LSTM based approach coupled with attention and linear layers to better capture the dairy features. We compare the model, with three other architectures including NBEATs, ARIMA, MUMU-RNN using dairy production of 292181 dairy cows. The results highlight the performence of the proposed model of the compared architectures. They also show that a univariate NBEATs could perform better than the multi-variate approach there are compared to. We also highlight that such architecture could allow to predict late-profit with an error less than 3$ per month, opening the way of better resource management in the dairy industry.<\/p>\n","protected":false},"template":"","meta":{"_acf_changed":false,"_crdt_document":""},"class_list":["post-1988","publication","type-publication","status-publish","hentry"],"blocksy_meta":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract) - WELL-E<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wp.well-e.org\/fr\/publication\/a-model-for-the-prediction-of-lifetime-profit-estimate-of-dairy-cattle-student-abstract\/\" \/>\n<meta property=\"og:locale\" content=\"fr_CA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract) - WELL-E\" \/>\n<meta property=\"og:description\" content=\"Authors: Vahid Naghashi and Abdoulaye Banire Diallo Date: 2022-06-01 Status: Published DOI: 10.1609\/aaai.v36i11.21647 View External Publication In livestock management, the decision of animal replacement requires an estimation of the lifetime profit of the animal based on multiple factors and operational conditions. 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