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 …
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
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 …
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
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
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 …
sustainable agricultural development. Nondestructive crop growth monitoring based on …
Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat
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 …
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 …
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
Background Aboveground biomass (AGB) is a widely used agronomic parameter for
characterizing crop growth status and predicting grain yield. The rapid and accurate …
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
Current strategies for phenotyping above-ground biomass in field breeding nurseries
demand significant investment in both time and labor. Unmanned aerial vehicles (UAV) can …
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
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 …
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 …
advantages in high-precision quantitative analysis of non-contact water surface source …