A review of practical ai for remote sensing in earth sciences

B Janga, GP Asamani, Z Sun, N Cristea - Remote Sensing, 2023 - mdpi.com
Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

Modern trends in hyperspectral image analysis: A review

MJ Khan, HS Khan, A Yousaf, K Khurshid… - Ieee …, 2018 - ieeexplore.ieee.org
Over the past three decades, significant developments have been made in hyperspectral
imaging due to which it has emerged as an effective tool in numerous civil, environmental …

Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum

D Zhao, KR Reddy, VG Kakani, VR Reddy - European journal of agronomy, 2005 - Elsevier
An experiment was conducted under outdoor pot-culture conditions to determine effects of
nitrogen (N) deficiency on sorghum growth, physiology, and leaf hyperspectral reflectance …

Remote sensing for crop management

PJ Pinter Jr, JL Hatfield, JS Schepers… - … & Remote Sensing, 2003 - ingentaconnect.com
Scientists with the Agricultural Research Service (ARS) and various government agencies
and private institutions have provided a great deal of fundamental information relating …

Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance

A Siedliska, P Baranowski, J Pastuszka-Woźniak… - BMC Plant …, 2021 - Springer
Background Modern agriculture strives to sustainably manage fertilizer for both economic
and environmental reasons. The monitoring of any nutritional (phosphorus, nitrogen …

Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data

EM Abdel-Rahman, FB Ahmed… - International Journal of …, 2013 - Taylor & Francis
Nitrogen (N) is one of the most important limiting nutrients for sugarcane production.
Conventionally, sugarcane N concentration is examined using direct methods such as …

Using hyperspectral remote sensing techniques to monitor nitrogen, phosphorus, sulphur and potassium in wheat (Triticum aestivum L.)

GR Mahajan, RN Sahoo, RN Pandey, VK Gupta… - Precision …, 2014 - Springer
In situ, non-destructive and real time mineral nutrient stress monitoring is an important
aspect of precision farming for rational use of fertilizers. Studies have demonstrated the …

Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments

GJ Fitzgerald, D Rodriguez, LK Christensen… - Precision …, 2006 - Springer
Variable-rate technologies and site-specific crop nutrient management require real-time
spatial information about the potential for response to in-season crop management …