
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.
R dasturlash tili, iqtisodiy modellashtirish, qishloq xo'jaligi, bug'doy hosildorligi, statistik tahlil, regressiya modeli, agroinformatika, Smart Farming, Python, MATLAB, Excel VBA.
R dasturlash tili, iqtisodiy modellashtirish, qishloq xo'jaligi, bug'doy hosildorligi, statistik tahlil, regressiya modeli, agroinformatika, Smart Farming, Python, MATLAB, Excel VBA.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
