Browsing Divisjon for matproduksjon og samfunn by Journals "Remote Sensing"
Now showing items 1-7 of 7
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Canopy fluorescence sensing for in-season maize nitrogen status diagnosis
(Peer reviewed; Journal article, 2021-12-17)Accurate assessment of crop nitrogen (N) status and understanding the N demand are considered essential in precision N management. Chlorophyll fluorescence is unsusceptible to confounding signals from underlying bare soil ... -
Deep Learning in Hyperspectral Image Reconstruction from Single RGB images—A Case Study on Tomato Quality Parameters
(Peer reviewed; Journal article, 2020-10-07)Hyperspectral imaging has many applications. However, the high device costs and low hyperspectral image resolution are major obstacles limiting its wider application in agriculture and other fields. Hyperspectral image ... -
Developing a proximal active canopy sensor-based precision nitrogen management strategy for high-yielding rice
(Peer reviewed; Journal article, 2020-05-02)RapidSCAN is a portable active canopy sensor with red, red-edge, and near infrared spectral bands. The objective of this study is to develop and evaluate a RapidSCAN sensor-based precision nitrogen (N) management (PNM) ... -
Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance
(Peer reviewed; Journal article, 2022-05-19)Active crop sensor-based precision nitrogen (N) management can significantly improve N use efficiency but generally does not increase crop yield. The objective of this research was to develop and evaluate an active canopy ... -
Gaussian Process Modeling of In-Season Physiological Parameters of Spring Wheat Based on Airborne Imagery from Two Hyperspectral Cameras and Apparent Soil Electrical Conductivity
(Peer reviewed; Journal article, 2022-11-25)The remote sensing of the biophysical and biochemical parameters of crops facilitates the preparation of application maps for variable-rate nitrogen fertilization. According to comparative studies of machine learning ... -
Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
(Peer reviewed; Journal article, 2020-01-08)Optimizing nitrogen (N) management in rice is crucial for China’s food security and sustainable agricultural development. Nondestructive crop growth monitoring based on remote sensing technologies can accurately assess ... -
Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes
(Journal article; Peer reviewed, 2019-02-16)Ruminant fodder production in agricultural lands in latitudes above the Arctic Circle is constrained by short and hectic growing seasons with a 24-hour photoperiod and low growth temperatures. The use of remote sensing to ...