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