Comprehensive assessment of soil quality in greenhouse agriculture based on genetic algorithm and neural network

Purpose With the continuous advancement of modern agriculture and urbanization, soil quality assessment has been considered an important guarantee for sustainable agricultural development. Despite the availability of numerous methods for assessing soil quality, little emphasis has been paid to compr...

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Vydáno v:	Journal of soils and sediments Ročník 24; číslo 3; s. 1302 - 1315
Hlavní autoři:	Sun, Yuemei, Zhang, Jingzhi, Bai, Jingbo, Xu, Yanxiang, Chen, Yunlin, Lan, Yubin, Han, Xin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024 Springer Nature B.V
Témata:	Accuracy Agricultural development Agricultural land agricultural soils Agriculture Algorithms Availability Back propagation Back propagation networks Earth and Environmental Science Environment Environmental Physics Farm buildings Genetic algorithms greenhouse soils Greenhouses Heavy metals Metal concentrations Metals Model accuracy Neural networks Nutrients Nutrition pollution prediction Quality assessment Quality control Sec 5 • Soil and Landscape Ecology • Research Article Soil Soil nutrients Soil pollution Soil quality Soil Science & Conservation Soils Sustainable agriculture Sustainable development Trace elements Urbanization Soil nutrients Backpropagation neural network Heavy metals Genetic algorithm–backpropagation neural network
ISSN:	1439-0108, 1614-7480
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