2020
DOI: 10.1080/10934529.2020.1787012
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Decision support system for NPK fertilization: a solution method for minimizing the impact on human health, climate change, ecosystem quality and resources

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Cited by 12 publications
(5 citation statements)
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“…This could be due to the prevention of physiological toxicity caused by excessive fertilization and an improvement in the soil acidification and C/N ratio, thereby promoting the acquisition and absorption of soil nutrients by the plant roots (Cardenas, Santa, & Kaštovská, 2021; Li et al, 2019; Qiu, McComb, & Bell, 2008; Zhang et al, 2021). By contrast, increasing fertilizer input may significantly reduce yield and quality and increase the environmental risk (Meza‐Palacios et al, 2020; Ye et al, 2020; Yu et al, 2019). Compared with the FFP treatment, although OPT NPK increased P 2 O 5 by 25% and K 2 O by 16.7–100%, it did not significantly affect yield and quality (Table S3, Figure 4).…”
Section: Discussionmentioning
confidence: 99%
“…This could be due to the prevention of physiological toxicity caused by excessive fertilization and an improvement in the soil acidification and C/N ratio, thereby promoting the acquisition and absorption of soil nutrients by the plant roots (Cardenas, Santa, & Kaštovská, 2021; Li et al, 2019; Qiu, McComb, & Bell, 2008; Zhang et al, 2021). By contrast, increasing fertilizer input may significantly reduce yield and quality and increase the environmental risk (Meza‐Palacios et al, 2020; Ye et al, 2020; Yu et al, 2019). Compared with the FFP treatment, although OPT NPK increased P 2 O 5 by 25% and K 2 O by 16.7–100%, it did not significantly affect yield and quality (Table S3, Figure 4).…”
Section: Discussionmentioning
confidence: 99%
“…Ashraf et al [9] used a fuzzy decision support algorithm that was used to study the fertilizer application rate in wheat, but it is not universal. Meza-Palacios et al [10] proposed a decision support system for fertilizer application based on a soil condition model and a nitrogen, phosphorus, and potassium fertilization model, which can increase crop yield and reduce fertilizer use, but the system focuses on predicting the fertilizer requirement of the crop instead of controlling the amount of fertilizer to be applied. Gómez-Melendez et al [11] used a fuzzy control algorithm to achieve pH adjustment of a water-fertilizer integrated control system, but the system can only reflect the pH of the water-fertilizer solution, which cannot reflect the amount of each fertilizer applied.…”
Section: Introductionmentioning
confidence: 99%
“…Regarding the application of macronutrients such as nitrogen, phosphorus and potassium, many people believe that more fertilisers will provide higher productivity. However, this leads to over-fertilisation which reduces soil quality due to acidification [16]. Furthermore, the production of chemical fertiliser is energy intensive.…”
Section: Introductionmentioning
confidence: 99%