Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

A Chlingaryan, S Sukkarieh, B Whelan - Computers and electronics in …, 2018 - Elsevier
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 …

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

K Berger, J Verrelst, JB Féret, Z Wang… - Remote Sensing of …, 2020 - Elsevier
Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …

[HTML][HTML] Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods

J Verrelst, Z Malenovský, C Van der Tol… - Surveys in …, 2019 - Springer
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …

Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning

H Zha, Y Miao, T Wang, Y Li, J Zhang, W Sun, Z Feng… - Remote Sensing, 2020 - mdpi.com
Optimizing nitrogen (N) management in rice is crucial for China's food security and
sustainable agricultural development. Nondestructive crop growth monitoring based on …

Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat

V Silva-Perez, G Molero, SP Serbin… - Journal of …, 2018 - academic.oup.com
Improving photosynthesis to raise wheat yield potential has emerged as a major target for
wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area …

A research road map for responsible use of agricultural nitrogen

M Udvardi, FE Below, MJ Castellano… - … in Sustainable Food …, 2021 - frontiersin.org
Nitrogen (N) is an essential but generally limiting nutrient for biological systems.
Development of the Haber-Bosch industrial process for ammonia synthesis helped to relieve …

Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

N Lu, J Zhou, Z Han, D Li, Q Cao, X Yao, Y Tian, Y Zhu… - Plant Methods, 2019 - Springer
Background Aboveground biomass (AGB) is a widely used agronomic parameter for
characterizing crop growth status and predicting grain yield. The rapid and accurate …

Above-ground biomass estimation in oats using UAV remote sensing and machine learning

P Sharma, L Leigh, J Chang, M Maimaitijiang, M Caffé - Sensors, 2022 - mdpi.com
Current strategies for phenotyping above-ground biomass in field breeding nurseries
demand significant investment in both time and labor. Unmanned aerial vehicles (UAV) can …

Hyperspectral imagery to monitor crop nutrient status within and across growing seasons

N Liu, PA Townsend, MR Naber, PC Bethke… - Remote Sensing of …, 2021 - Elsevier
Imaging spectroscopy provides the opportunity to monitor nutrient status of vegetation. In
crops, prior studies have generally been limited in scope, either to a small wavelength range …

[HTML][HTML] Uav-borne hyperspectral imaging remote sensing system based on acousto-optic tunable filter for water quality monitoring

H Liu, T Yu, B Hu, X Hou, Z Zhang, X Liu, J Liu… - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicle (UAV) hyperspectral remote sensing technologies have unique
advantages in high-precision quantitative analysis of non-contact water surface source …