Yang Lei, Hou Qiaoming, Zhao Tong
Research on Supply Chain Financial Risk Prevention Based on Machine Learning
Computational intelligence and neuroscience
increasing awareness environmental public health impacts expanding intensifying animalbased food farming systems creates discord reliance much worlds population animals livelihoods essential nutrition increasing efficiency food production improved animal health identified step towards minimising negative effects without compromising global food security global burden animal diseases gbads programme aims provide data analytical methods support positive change animal health across livestock aquaculture animal populations study present metric begins process disease burden estimation converting physical consequences disease animal performance farmlevel costs disease calculates metric termed animal health loss envelope ahle via comparison status quo diseasefree ideal example calculation ahle metric meat production broiler chickens provided ahle presents direct financial costs disease farmlevel causes estimating losses expenditure given farming system general specification model measures productivity change farmlevel provides upper bound productivity change absence disease gives indication scale total disease cost farmlevel ahle essential stepping stone within gbads programme connects physical performance animals farming systems different environmental management conditions different health states farm economics moving forward ahle results important step calculating wider monetary consequences changes animal health part gbads programme bill melinda gates foundation uk foreign commonwealth development office eu horizon 2020 research innovation programme