In　view　of　the　phenomenon　that　adulterated　lamb　with　other　animal-derived　meats　in　the　market　could　not　be　quickly　identified,　this　study　used　visible　near-infrared　spectroscopy　combined　with　chemometric　methods　to　quickly　identify　and　quantify　lamb　rolls　adulterated　with　chicken,　duck,　and　pork.　The　spectra　of　the　visible–near-infrared　band　(350–1000　nm)　and　near-infrared　band　(1000–1700　nm)　of　360　lamb　samples,　which　were　mixed　with　chicken,　duck,　pork,　and　10%　lamb　oil　separately　in　different　increasing　proportions,　were　collected.　It　was　found　that　the　qualitative　models　of　heterogeneous　meat　(adulterated　with　chicken,　duck,　and　pork)　in　lamb　were　constructed　by　the　combination　of　first　derivative　and　multiplicative　scatter　correction　(MSC);　the　accuracy　of　the　validation　set　reached　100%;　the　meantime　accuracy　of　the　cross-validation　set　reached　100%　(pure　lamb),　98.3%　(adulterated　with　chicken),　98.7%　(adulterated　with　duck),　and　97.3%　(adulterated　with　pork).　Furthermore,　the　correlation　coefficient　(R2c)　of　the　adulterated　chicken,　pork,　and　duck　quantitative　prediction　models　reached　0.972　(chicken),　0.981　(pork),　and　0.985　(duck).　In　summary,　the　use　of　Vis　NIR　can　identify　lamb　meat　mixed　with　chicken,　duck,　and　pork　and　can　quantitatively　predict　the　content　of　adulterated　meat.　©　2024　by　the　authors.