Confusion matrix of random forest model.

<div><p>As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. Recently, there have been many studies done in this field, but very f...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Gourab Saha (8987405) (author)
مؤلفون آخرون:	Fariha Shahrin (20465325) (author), Farhan Hasin Khan (20465329) (author), Mashook Mohammad Meshkat (20465332) (author), AKM Abdul Malek Azad (20465335) (author)
منشور في:	2025
الموضوعات:	Biotechnology Ecology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified spectral band images save around 61 powered irrigation system parameter measuring sensors many studies done faster calibration rate experimental results demonstrated decreasing labor work complete integrated design advanced computational techniques 87 %, respectively 8 satellite images enhancing agricultural practices average logic algorithm driven precision agriculture land using k land using iot identify suitable crop precision agriculture using rmse smart iot fuzzy logic agricultural analysis crop yield crop selection crop prediction land mapping chosen land xlink "> world population vegetation index vegetation area salinity index random forest multiple soil ml model machine learning lstm model loss function increasing demands findings highlight fertilizer requirements extracting indices decide whether based solar achieving accuracies
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Confusion matrix of random forest model.

مواد مشابهة