Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …
Remote sensing (RS) systems are being more widely used in building decision support tools …
[HTML][HTML] Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for …
This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …
and machine learning algorithms for estimating important biophysical and biochemical …
Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index
We present the first comparison of Sentinel-2A (S2) MSI (Multi-Spectral Instrument) and
Landsat 8 (L8) OLI (Operational Land Imager) data in the retrieval of forest canopy cover …
Landsat 8 (L8) OLI (Operational Land Imager) data in the retrieval of forest canopy cover …
Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods–A comparison
J Verrelst, JP Rivera, F Veroustraete… - ISPRS Journal of …, 2015 - Elsevier
Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a
systematic comparison of retrieval accuracy and processing speed of a multitude of …
systematic comparison of retrieval accuracy and processing speed of a multitude of …
A comparative assessment of different modeling algorithms for estimating leaf nitrogen content in winter wheat using multispectral images from an unmanned aerial …
Unmanned aerial vehicle (UAV)-based remote sensing (RS) possesses the significant
advantage of being able to efficiently collect images for precision agricultural applications …
advantage of being able to efficiently collect images for precision agricultural applications …
Combining unmanned aerial vehicle (UAV)-based multispectral imagery and ground-based hyperspectral data for plant nitrogen concentration estimation in rice
Plant nitrogen concentration (PNC) is a critical indicator of N status for crops, and can be
used for N nutrition diagnosis and management. This work aims to explore the potential of …
used for N nutrition diagnosis and management. This work aims to explore the potential of …
Remote estimation of rice LAI based on Fourier spectrum texture from UAV image
B Duan, Y Liu, Y Gong, Y Peng, X Wu, R Zhu, S Fang - Plant Methods, 2019 - Springer
Background The accurate estimation of rice LAI is particularly important to monitor rice
growth status. Remote sensing, as a non-destructive measurement technology, has been …
growth status. Remote sensing, as a non-destructive measurement technology, has been …
A three-dimensional conceptual model for estimating the above-ground biomass of winter wheat using digital and multispectral unmanned aerial vehicle images at …
Y Zhu, J Liu, X Tao, X Su, W Li, H Zha, W Wu, X Li - Remote Sensing, 2023 - mdpi.com
The timely and accurate estimation of above-ground biomass (AGB) is crucial for indicating
crop growth status, assisting management decisions, and predicting grain yield. Unmanned …
crop growth status, assisting management decisions, and predicting grain yield. Unmanned …
基于无人机高光谱影像的引黄灌区水稻叶片全氮含量估测.
秦占飞， 常庆瑞， 谢宝妮， 申健 - Transactions of the Chinese …, 2016 - search.ebscohost.com
实时监测水稻氮素状况对于评估水稻长势及精准田间管理意义重大. 为确定宁夏引黄灌区水稻
叶片全氮含量的最优高光谱估测方法, 该文依托不同氮素水平水稻试验, 基于成像高光谱数据和 …
叶片全氮含量的最优高光谱估测方法, 该文依托不同氮素水平水稻试验, 基于成像高光谱数据和 …
An assessment of background removal approaches for improved estimation of rice leaf nitrogen concentration with unmanned aerial vehicle multispectral imagery at …
Background effect is a crucial limitation for the monitoring of leaf nitrogen concentration
(LNC) in crops with unmanned aerial vehicle (UAV) multispectral imagery. Some …
(LNC) in crops with unmanned aerial vehicle (UAV) multispectral imagery. Some …