Predicting Apple Tree Macronutrients Using Unmanned Aerial Vehicle-Based Hyperspectral Imagery to Manage Apple Orchard Nutrients

Herein, the development of an estimation model to measure the chlorophyll (Ch) and macronutrients, such as the total nitrogen (T-N), phosphorus (P), potassium (K), carbon (C), calcium (Ca), and magnesium (Mg), in apples is detailed, using key band ratios selected from hyperspectral imagery acquired...

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主要な著者:	Ye Seong Kang, Chan Seok Ryu, Jung Gun Cho, Ki Su Park
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-08-01
シリーズ:	Drones
主題:	apple tree hyperspectral imagery <i>k</i>-nearest neighbors macronutrients unmanned aerial vehicle
オンライン･アクセス:	https://www.mdpi.com/2504-446X/8/8/369
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