Skip to Main content Skip to Navigation
Conference papers

Selection of methods to analyse body weight and feed intake data used as inputs for nutritional models and precision feeding in pigs

Abstract : The progress of technologies (sensors, automates) in precision livestock farming enables the development of innovative feeding techniques such as precision feeding of individual animals. In addition to the design of adapted feeders, precision feeding requires decision-support tools to manage data and apply nutritional models that calculate the optimal feed composition and allowance. These calculations require to forecast body weight (BW) and feed intake (FI) of individual pigs according to past performance. To select the most accurate forecasting method, three statistical methods were tested on a dataset of measurements of BW and FI for 117 pigs: the double exponential smoothing (DES) method, multivariate adaptive regression splines (MARS), and the knearest neighbours (kNN) method. These methods were tested in relation to data sampling frequency (i.e., daily or weekly measurements) and data availability. The capacity to forecast BW or FI was evaluated through the mean error of prediction. The kNN method appeared suitable if few historical data are available as it requires not more than 3 historical data. The MARS method was better than the DES method to forecast daily BW, but the DES method was better in forecasting the daily cumulated FI. The DES method also seemed more appropriate for weekly BW data, requiring only 3 historical data to make a forecasting. These methods can be used for performance forecasting in a decision-support tool for precision feeding. This study was performed in the Feed-a-Gene Project funded by the European Union’s H2020 Programme (grant agreement no 633531).
Document type :
Conference papers
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download
Contributor : Archive Ouverte ProdInra Connect in order to contact the contributor
Submitted on : Wednesday, September 20, 2017 - 8:44:18 PM
Last modification on : Wednesday, April 6, 2022 - 4:08:16 PM


Brossard 2017 574_{2496F408-6D...
Files produced by the author(s)


Distributed under a Creative Commons Attribution - ShareAlike 4.0 International License


  • HAL Id : hal-01591146, version 1
  • PRODINRA : 408180


Ludovic Brossard, Imane Taoussi, Jaap J. van Milgen, Jean-Yves Dourmad. Selection of methods to analyse body weight and feed intake data used as inputs for nutritional models and precision feeding in pigs. 8. European Conference on Precision Livestock Farming (ECPLF), Sep 2017, Nantes, France. ⟨hal-01591146⟩



Record views


Files downloads