A deep learning-based method for screening soil total nitrogen characteristic wavelengths-Reference-Cited by-同舟云学术

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A deep learning-based method for screening soil total nitrogen characteristic wavelengths

Published:2021-08 Issue: Volume:187 Page:106228
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Wang Yueting,Li Minzan,Ji Ronghua,Wang Minjuan,Zheng Lihua

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference43 articles.

1. A possible fractional order derivative and optimized spectral indices for assessing total nitrogen content in cotton;Abulaiti;Comput. Electron. Agric.,2020

2. Estimation of soil total nitrogen and soil moisture based on NIRS technology;An;IFIP Adv. Inf. Commun. Technol.,2012

3. Eliminating the interference of soil moisture and particle size on predicting soil total nitrogen content using a NIRS-based portable detector;An;Comput. Electron. Agric.,2015

4. Baseline correction using asymmetrically reweighted penalized least squares smoothing;Baek;Analyst,2014

5. State-of-the-art technologies in precision agriculture: a systematic review;Bhakta;J. Sci. Food Agric.,2019

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2. Ensemble Band Selection for Quantification of Soil Total Nitrogen Levels from Hyperspectral Imagery;Remote Sensing;2024-07-11

3. A critical systematic review on spectral-based soil nutrient prediction using machine learning;Environmental Monitoring and Assessment;2024-07-04

4. Research Progress in Intelligent Diagnosis Key Technology for Orchard Nutrients;Applied Sciences;2024-05-30

5. Prediction of nitrogen, active carbon, and organic carbon‐to‐clay ratio in agricultural soils by in‐situ spectroscopy;European Journal of Soil Science;2024-05

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