Fertilizers play a very important role in ensuring the continuous increase in production and income of crop producers. However, in the production process of compound fertilizers, due to the lag and external interference in the production process of fertilizer ingredients, problems with yield and quality can arise. Therefore, the accuracy of ingredients plays a crucial role in the production of compound fertilizers. This article focuses on the complex production process of compound fertilizers, using a parallel weighing bin structure to design a batching control scheme. The upper computer provides a relatively good and intuitive human–machine interface. By using WinCC software, real-time communication between the programmable logic controller system and the remote computer system can be achieved through the online network, thereby achieving effective monitoring and unified management of the entire system process, and achieving precise control of material distribution. Through the analysis of software and hardware, as well as the setting of on-site equipment, the composition of composite fertilizers was analyzed, indicating that this method has good application prospects as a batching control scheme.
WuYR. Chemical fertilizer use efficiency and its determinants in China’s farming sector. China Agric Econ Rev2011; 3: 117–130.
2.
CaoZH. Environmental issues related to chemical fertilizer use in China. Pedosphere1996; 6: 289–303.
3.
SaneMHajekMNwaoguC,et al.Subsidy as an economic instrument for environmental protection: a case of global fertilizer use. Sustainability2021: 13.
4.
FageriaNKBaligarVCLiYC. The role of nutrient efficient plants in improving crop yields in the twenty first century. J Plant Nutr2008; 31: 1121–1157.
5.
DegryseFMclaughlinMJ. Phosphorus diffusion from fertilizer: visualization, chemical measurements, and modeling. Soil Sci Soc Am J2014; 78: 832–842.
6.
RenCLiuSVan GrinsvenH, et al.The impact of farm size on agricultural sustainability. J Cleaner Prod2019; 220: 357–367.
7.
MerrillMC. Eco-agriculture: a review of its history and philosophy. Biol Agric Hortic1983; 1: 181–210.
8.
JacobyRPeukertMSuccurroA, et al.The role of soil microorganisms in plant mineral nutrition-current knowledge and future directions. Front Plant Sci2017; 8: 1617.
9.
FiskellJGEverettPHLocascioSJ. Fertilizer effectiveness, minor element release from organic-N fertilizer materials in laboratory and field studies. J Agric Food Chem1964; 12: 363–367.
10.
AntilRSSharmaTInubushiK. Laboratory and greenhouse assessment of plant-available N in organic materials. Arch Agron Soil Sci2013; 59: 411–422.
11.
RahmanMHHaqueKMSKhanMZH. A review on application of controlled released fertilizers influencing the sustainable agricultural production: a cleaner production process. Environ Technol Innov2021; 23: 101697.
12.
AzeemBKuShaariKZManZB, et al.Review on materials & methods to produce controlled release coated urea fertilizer. J Controlled Release2014; 181: 11–21.
13.
ChenYZhangXYangX, et al.Emergy evaluation and economic analysis of compound fertilizer production: a case study from China. J Cleaner Prod2020; 260: 273–277.
14.
ZhuZFanZShengjunLI, et al.Effect of water-soluble fillers of nitro-compound fertilizer on growth indicators and yield of lettuce. Fert Health2020; 47(1): 32–36.
15.
LaiLHuangXJWangH, et al.Estimation of environmental costs of chemical fertilizer utilization in China. Acta Pedologica Sinica2009; 46: 63–69.
16.
JingZYoushengL. Public investment and environmental sustainability of agricultural production in China. Chin J Populat Resources Environ2004; 2: 30–35.
17.
AzizOHussainSRizwanM, et al.Increasing water productivity, nitrogen economy, and grain yield of rice by water saving irrigation and fertilizer-N management. Environ Sci Pollut Res2018; 25: 1–15.
18.
ChengWLiangLLiangT. Design of variable rate fertilization control system based on improved PID. In Proceedings of the 2012 International Conference on Measurement, Information and Control (MIC), 2012, Harbin, China, 18–20 May 2012, pp. 1037–1040. IEEE.
19.
HuangJXZhouHBWangJF,et al.Research on variable rate fertilization control system based on fuzzy PID. Appl Mech Mater2014; 614: 207–210.
20.
LiangCWangXJiJ, et al.Research of PID algorithm for valve controlled hydraulic motor variable rate fertilizer control system. International Conference on Computer & Computing Technologies in Agriculture, 2015(419), Beijing, China, 18–20 September 2013, pp.315–326. Springer.
21.
CobbenhagenATJRAntunesDJMolengraftMJG, et al.Opportunities for control engineering in arable precision agriculture. Annu Rev Control2021; 51: 47–55.
22.
HajjajSSahariK. Review of agriculture robotics: Practicality and feasibility. 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). Tokyo, Japan, 17–20 December, 2016. IEEE.
23.
WinursitoAMasngutIPratamaG. Development and implementation of Kalman filter for IoT sensors: Towards a better precision agriculture. 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Yogyakarta, Indonesia, 10-11 December 2020, pp.360–364. IEEE.
24.
NingSXuTSongL. Development of a variable rate fertilization control system based on DC motor for use on granular fertilizer applicator. 2015 Fifth International Conference on Communication Systems and Network Technologies (CSNT). Gwalior, India, 04–06 April 2015, pp. 1205–1209. IEEE.
25.
WangBYCaiZJYuanHB,et al.Control model and experiment of water and fertilizer proportion of fertilizer machine based on RBF neural network. 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC). Xi'an, China, 15–17 August 2018, pp. 648–653. IEEE.
26.
AhmedAAKhalidAAElKamilT. Development and performance evaluation of a control system for variable rate granular fertilizer application. Comput Electron Agric2019; 160: 31–39.
27.
KimYHRheeJYKimYJ,et al.Design and analysis of a control system for variable-rate application of granular fertilizers. J Biosyst Eng2006; 31: 203–208.
28.
ZhangJHouSWangR, et al.Design of variable-rate liquid fertilization control system and its stability analysis. Int J Agric Biol Eng2018; 11: 109–114.
29.
AndradeIFSchmidtR. Design and implement of control system of variable rate applying liquid fertilizer in precision agriculture. International Conference, on Informationization, Automation and Electrification in Agriculture, 28–30 November 2008. AAPH.
30.
JoshiAN. A review of processes for separation and utilization of fluorine from phosphoric acid and phosphate fertilizers. Chem Pap2022; 76: 6033–6045.
31.
GaidajisGKakanisI. Life cycle assessment of nitrate and compound fertilizers production—a case study. Sustainability2021; 13: 148.
32.
CamposEVRDe OliveiraJLFracetoLF, et al.Polysaccharides as safer release systems for agrochemicals. Agron Sustain Dev2015; 35: 47–66.
33.
VejanPKhadiranTAbdullahR, et al.Controlled release fertilizer: a review on developments, applications and potential in agriculture. J Controlled Release2021; 339: 321–334.
34.
FirmandaAFahmaFSyamsuK, et al.Controlled/slow-release fertilizer based on cellulose composite and its impact on sustainable agriculture. Biofuels Bioprod Biorefin2022; 16: 1909–1930.
35.
DuanQJiangSChenF, et al.Fabrication, evaluation methodologies and models of slow-release fertilizers: a review. Ind Crops Prod2023; 192: 116075.
36.
OchiaiKUesugiAMasudaY, et al.Overexpression of exogenous biuret hydrolase in rice plants confers tolerance to biuret toxicity. Plant Direct2020; 4: 1–12.
37.
OchiaiKMasudaYUesugiA, et al.Biuret toxicity induces accumulation of nitrogen-rich compounds in rice plants. Plant Soil2023; 485: 615–628.
38.
ZhangZChenCLiH. Design and evaluation of a control system for the fertigation device.J ASABE2022; 65: 1293–1302.
39.
ZhangJLiuGHuangJ, et al.A study on the time lag and compensation of a variable-rate fertilizer applicator. Appl Eng Agric2021; 37: 43–52.
40.
MalekiMRRamonHDe BaerdemaekerJ, et al.A study on the time response of a soil sensor-based variable rate granular fertiliser applicator. Biosystems Eng2008; 100: 160–166.
41.
ReznikLGhanayemOBourmistrovA. PID Plus fuzzy controller structures as a design base for industrial applications. Eng Appl Artif Intell2000; 13: 419–430.
42.
MohanVChhabraHRaniA, et al.An expert 2DOF fractional order fuzzy PID controller for nonlinear systems. Neur Comput Appl2019; 31: 4253–4270.
43.
LieslehtoJTanttuJTKoivoHN. An expert system for tuning PID controllers. Computer Aided Design in Control Systems 1988. Pergamon, Atlanta, GA, USA, 15–17 June 1988, pp. 341–346. IEEE.
