@article{Angadi:245879,
      recid = {245879},
      author = {Angadi, U. B. and Anandan, S. and Gowda, N. K. S. and  Rajendran, D. and Devi, L. and Elangovan, A. V. and Jash,  S.},
      title = {“Feed Assist”- An Expert System on Balanced Feeding for  Dairy Animals},
      journal = {AGRIS on-line Papers in Economics and Informatics},
      address = {2016-09-30},
      number = {665-2016-45095},
      series = {08},
      pages = {10},
      month = {Sep},
      year = {2016},
      abstract = {Inadequate feeding is the major factor for low livestock  productivity in India. In dairying, feed cost is a major  
input and feeding practices has to be improved to ensure  profits. Still the small scale farmers are following  
traditional feeding practices and fail to address the  complexities involved in ration formulation. To address  
the complexities in ration balancing based on the nutrient  requirements for different categories of livestock,  
nutrient composition of wide  range of feed resources  and  the cost -  a number of expert systems have been  
developed.  However  existing  expert  systems  have  not   been  widely  used  by  majority  of  small  farmers  due   
to lack of awareness, access and basic skills required to  operate. To address these limitations, “Feed Assist” 
a   farmer  friendly  expert  system      for  balanced   feeding  of  dairy  animals  at  least  cost  has  been   developed  
using linear programming. “Feed Assist” does  not require much expertise to operate and enables the  farmers 
to formulate least cost rations for different  categories of livestock using locally available feed  resources.},
      url = {http://ageconsearch.umn.edu/record/245879},
      doi = {https://doi.org/10.22004/ag.econ.245879},
}