Designing profitable and climate-smart farms using virtual reality

farm (quartile groupings), all the grid cells covered by pasture have been assigned to one of four categories ranging from very low to very high productive land (Figs 2 and 3). For the very low and very high producing categories, we have used a stocking rate of 1.8 and 10.4 SU/ha, respectively, which is within the range observed across hill country sheep and beef farms in NZ [29]. We have used intermediate stocking rates for the two remaining classes Fig 2. Distribution of the Normailsed Difference Vegetation Index (NDVI) values for the categories of pasture production. https://doi.org/10.1371/journal.pone.0286723.g002 Fig 3. Application logic and values used for the different forest types and pasture relative productivity classes. https://doi.org/10.1371/journal.pone.0286723.g003 PLOS ONE Designing profitable and climate-smart farms using virtual reality PLOS ONE | https://doi.org/10.1371/journal.pone.0286723 June 2, 2023 6 / 16