NPK sensorlarini mashinali o’qitish yordamida kalibrovka qilish va IoT asosida ozuqaviy holatni baholash
Ключевые слова:
NPK sensori, IoT, kalibrovka, XGBoost, Random Forest, CatBoost, ozuqaviy holatАннотация
Azot, fosfor va kaliy o’simlik o’sishi uchun eng zarur ozuqa moddalaridir. Tuproqdagi miqdorini laboratoriyada aniqlash ishonchli natija beradi, ammo bu usul sekin va qimmat. Arzon dala sensorlari javobni darhol beradi, lekin ularning ko’rsatkichlari tuproq namligi, tuzliligi va kislotaligi (pH) ta’sirida laboratoriya qiymatlaridan chetga chiqib ketadi. Mazkur tezisda sensor ko’rsatkichlarini mashinali o’qitish yordamida laboratoriya qiymatlariga moslash (kalibrovka) va narsalar interneti (IoT) tizimlarida ozuqaviy holatni baholashga oid tadqiqotlar tahlil qilinadi.
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