A machine learning-based QSAR model for predicting toxicity of commercial pesticides to Eisenia fetida

Commercial pesticides are indispensable for modern agriculture but may exert unintended toxicity toward non-target soil fauna, notably earthworms. Here, we present a machine learning-based QSAR (ML-QSAR) framework that simultaneously integrates molecular structure descriptors, soil physicochemical p...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Simin Li, Peiwen Zhang, Rong Zhou, Yuanqing Bu, Houhu Zhang
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Elsevier 2026-02-01
Ráidu:	Ecotoxicology and Environmental Safety
Fáttát:	Commercial pesticides Earthworms ML-QSAR models Pesticide properties Soil properties Pesticide formulations
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S0147651326001338
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!