ZAMONAVIY GEOINFORMASION ALGORITMLAR ASOSIDA KUZGI BUGʻDOY HOSILDORLIK KO‘RSATKICHLARINI BAHOLASH USLUBLARI

  • Navbohor JMANIYAZOVA, UrDU, PhD
  • Murodjon SULTANOV UrDU doktoranti, PhD, dotsent
  • Temur MATKURBANOV UrDU doktorant
##plugins.pubIds.doi.readerDisplayName##: https://doi.org/10.69617/uzmu.v3i3.1.1707
"Kalit so‘zlar" : sun’iy yo‘ldosh, ekin modeli, DSSAT, hosil indeksi, kartografik baholash, oziq-ovqat xavfsizligi, regressiyon model.

"Maqola"

Global sun’iy yo‘ldosh ma’lumotlari, matematik-kartografik algoritmlar kabi zamonaviy uslublar asosida oziq-ovqat xavfsizligini ta’minlashga qaratilgan ilmiy-amaliy tadqiqotlar muhim sanaladi. Mazkur tadqiqot ishida ekinlar o‘sish jarayoniga ta’sir qiluvchi ob-havo, tuproq suv-fizik, kimyoviy va biologik ko‘rsatkichlari, boshqaruv omillari va navlarning genetik xossalariga asoslangan DSSAT modeli, ob-havo, sun’iy yo‘ldosh va hosil indeksi omillariga geoinformatsion algoritmlar asosida Xorazm viloyati kuzgi bug‘doy maydonlari va hosildorligi bashorat qilingan.

References

1. Christensen, A. J., Srinivasan, V., Hart, J. C., & Marshall-Colon, A. (2018). Use of computational modeling combined with advanced visualization to develop strategies for the design of crop ideotypes to address food security. Nutrition Reviews, 76(5), 332–347. https://doi.org/10.1093/nutrit/nux076
2. Di Paola, A., Valentini, R., & Santini, M. (2016). An overview of available crop growth and yield models for studies and assessments in agriculture. Journal of the Science of Food and Agriculture, 96(3), 709–714. https://doi.org/10.1002/jsfa.7359
3. Thimme Gowda, P., Satyareddi, S. A., & Manjunath, S. (2013). Crop Growth Modeling: A Review. Research and Reviews Journal of Agriculture and Allied Sciences, 2(1), 1–11.
Nashr qilingan
2024-03-30

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