R DASTURLASH TILIDA QISHLOQ XO‘JALIGIDAGI IQTISODIY JARAYONLARNI MODELLASHTIRISH: BUG‘DOY HOSILDORLIGI MISOLIDA
Keywords:
R dasturlash tili, iqtisodiy modellashtirish, qishloq xo‘jaligi, bug‘doy hosildorligi, statistik tahlil, regressiya modeli, agroinformatika, Smart Farming, Python, MATLAB, Excel VBA.Abstract
Ushbu maqolada R dasturlash tilidan foydalanib qishloq xo‘jaligida bug‘doy hosildorligini modellashtirish bo’yicha amaliy yondashuvlar taqdim etiladi. Modelni qurish jarayoni avvalo oddiy matematik tenglamalar asosida bayon etiladi, so‘ng Python, Excel VBA va MATLAB tillarida modellashtiriladi. Yakunda R tilida model ishlab chiqiladi va boshqa tillar bilan qiyosiy tahlil qilinadi. Maqolada R dasturlash tilining statistik kuchi, grafik imkoniyatlari va amaliy jihatdan qulayligi ochib beriladi. Shuningdek, hozirgi zamonaviy agrotexnologiyalar uchun R tilining yangi imkoniyatlari va innovatsion yechimlari yoritiladi.
References
1. [Smith, 2020] Smith, J. (2020). Agricultural Economics: A New Perspective on Crop Modeling. Springer.
2. [Jones et al., 2019] Jones, R., Taylor, M., & Williams, H. (2019). Climate Impact on Crop Yield: A Statistical Approach. Wiley-Blackwell.
3. [Kuznetsov, 2018] Kuznetsov, A. (2018). Statistical Modelling in Agriculture. Academic Press.
4. [Davis & Wilson, 2017] Davis, L., & Wilson, R. (2017). Economic Models in Agricultural Forecasting. Oxford University Press.
5. [Petrov et al., 2016] Petrov, A., Ivankov, D., & Korolev, P. (2016). Regressions in Agricultural Economics. Routledge.
6. [Kogan & Choi, 2015] Kogan, F., & Choi, J. (2015). Smart Farming Technologies and Their Impact on Yield Predictions. Elsevier.
7. [Harrison, 2014] Harrison, G. (2014). Climate Change and Crop Productivity: An Integrated Approach. Springer Nature.
8. [Miller, 2013] Miller, P. (2013). Agroinformatics: The Role of Data in Modern Agriculture. Springer.
