Spectral and foliar analysis using multiple machine learning classifiers for mature oil palm treated with nitrogen fertilizer
In assessing the leaf biochemical properties, spectral analysis has been explored as the non-invasive alternative to destructive leaf analysis. This study aims to develop spectral-based classification models to estimate oil palm’s chlorophyll (chl) and nutrient status via machine learning (ML). In t...
محفوظ في:
المؤلف الرئيسي: | Amirruddin, Amiratul Diyana |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://psasir.upm.edu.my/id/eprint/98770/1/FP%202021%2057%20-%20IR.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Influence of foliar urea with N-(n-butyl) thiophosphoric triamide and planting density on yield and quality of pineapple
بواسطة: Haque, Mohammad Amdadul
منشور في: (2022) -
Improvement of nitrogen fertilizer efficiency using enhanced efficiency fertilizer urea on maize production
بواسطة: Noor Affendi, Nur Mahfuzah
منشور في: (2017) -
Evaluation of nitrogen nutrition status in oil palm based on spectral response and multi-sensor images
بواسطة: Amirruddin, Amiratul Diyana
منشور في: (2016) -
Effect of paclobutrazol on lodging resistance, growth and yield of direct seeded rice
بواسطة: Syahputra, Bambang Surya Adji
منشور في: (2012) -
Nitrogen uptake and expression of nitrogen transporters of selected upland rice
بواسطة: Mohd Amin, Adibah
منشور في: (2016)