03258naa a2200325 a 450000100080000000500110000800800410001902400520006010000200011224501430013226000090027530000100028452022800029465000130257465000160258765000360260365000120263965300220265165300210267370000210269470000180271570000270273370000190276070000200277970000200279970000170281970000170283670000240285377300550287721508852023-03-24       2023    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1007/s13593-022-00858-52DOI1 aREIS, J. C. dos  aFuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier.h[electronic resource]  c2023  a18 p.  aAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a  sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental protection and the coexistence of biodiversity and the agricultural sector.  aAmazonia  aFuzzy logic  aIntegrated agricultural systems  aCerrado  aSistema agrícola  aSustentabilidade1 aRODRIGUES, G. S.1 aBARROS, I. de1 aRODRIGUES, R. de A. R.1 aGARRETT, R. D.1 aVALENTIM, J. F.1 aKAMOI, M. Y. T.1 aMICHETTI, M.1 aWRUCK, F. J.1 aRODRIGUES-FILHO, S.  tAgronomy for Sustainable Developmentgv. 43, 2023.