Comprehensive assessment of soil quality in greenhouse agriculture based on genetic algorithm and neural network
Author:
Funder
Top Talents Program for One Case One Discussion of Shandong Province, Academy of Ecological Unmanned Farm
Zibo City Integration Development Project
Publisher
Springer Science and Business Media LLC
Subject
Stratigraphy,Earth-Surface Processes
Link
https://link.springer.com/content/pdf/10.1007/s11368-023-03706-5.pdf
Reference59 articles.
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2. Briat JF, Gojon A, Plassard C, Rouached H, Lemaire G (2020) Reappraisal of the central role of soil nutrient availability in nutrient management in light of recent advances in plant nutrition at crop and molecular levels. Eur J Agron 116:126069. https://doi.org/10.1016/j.eja.2020.126069
3. Cai J, Xu K, Zhu Y, Hu F, Li L (2020) Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest. Appl Energy 262:114566. https://doi.org/10.1016/j.apenergy.2020.114566
4. Chen F, Jiang X, Tang F, Bian Y (2012) Application of AHP and GIS in evaluation of agricultural soil heavy metals pollution. Environ Pollut Cont 34(7):6–8
5. Chen S, Lin B, Li Y, Zhou S (2020) Spatial and temporal changes of soil properties and soil fertility evaluation in a large grain-production area of subtropical plain, China. Geoderma 357:113937. https://doi.org/10.1016/j.geoderma.2019.113937
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