Seed germination prediction of Salvia limbata under ecological stresses in protected areas: an artificial intelligence modeling approach.

Maryam SaffarihaAli JahaniDaniel Potter

Published in: BMC ecology (2020)

Multilayer perceptron model helps managers to determine the success of S.limbata seed planting in agricultural or natural ecosystems. The designed graphical user interface is an environmental decision support system tool for agriculture or rangeland managers to predict the success of S.limbata seed germination (percentage) in different ecological constraints of lands.

Keyphrases

climate change
artificial intelligence
human health
machine learning
big data
deep learning
risk assessment
heavy metals
plant growth
life cycle