Exploring the transferability of wheat nitrogen status estimation with multisource data and Evolutionary Algorithm-Deep Learning (EA-DL) framework
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Exploring the transferability of wheat nitrogen status estimation with multisource data and Evolutionary Algorithm-Deep Learning (EA-DL) framework
Authors
Keywords
-
Journal
EUROPEAN JOURNAL OF AGRONOMY
Volume 143, Issue -, Pages 126727
Publisher
Elsevier BV
Online
2022-12-20
DOI
10.1016/j.eja.2022.126727
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Combining leaf fluorescence and active canopy reflectance sensing technologies to diagnose maize nitrogen status across growth stages
- (2022) Rui Dong et al. PRECISION AGRICULTURE
- Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series
- (2022) Zhixian Lin et al. Remote Sensing
- Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning
- (2022) Dan Li et al. Remote Sensing
- Improving wheat yield prediction integrating proximal sensing and weather data with machine learning
- (2022) Guojie Ruan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop reflectance data
- (2022) Zhenhai Li et al. REMOTE SENSING OF ENVIRONMENT
- Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV
- (2022) Falv Wang et al. Remote Sensing
- Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing
- (2022) Zhuangzhuang Sun et al. Plant Phenomics
- Optimizing nitrogen fertilizer use for more grain and less pollution
- (2022) Keyu Ren et al. Journal of Cleaner Production
- An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives
- (2021) Yuanyuan Fu et al. EUROPEAN JOURNAL OF AGRONOMY
- Wheat cultivars with small root length density in the topsoil increased post-anthesis water use and grain yield in the semi-arid region on the Loess Plateau
- (2021) Yan Fang et al. EUROPEAN JOURNAL OF AGRONOMY
- A method combining ELM and PLSR (ELM-P) for estimating chlorophyll content in rice with feature bands extracted by an improved ant colony optimization algorithm
- (2021) Tan Liu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A genetic algorithm-assisted deep learning approach for crop yield prediction
- (2021) Luning Bi et al. SOFT COMPUTING
- Estimation of Paddy Rice Nitrogen Content and Accumulation Both at Leaf and Plant Levels from UAV Hyperspectral Imagery
- (2021) Li Wang et al. Remote Sensing
- Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms
- (2021) Zhengchao Qiu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
- (2021) Ahmet Kara EXPERT SYSTEMS WITH APPLICATIONS
- Effect of fertilization on nitrogen losses through surface runoffs in Chinese farmlands: A meta-analysis
- (2021) Pengfu Hou et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Assessment and Comparison of Six Machine Learning Models in Estimating Evapotranspiration over Croplands Using Remote Sensing and Meteorological Factors
- (2021) Yan Liu et al. Remote Sensing
- DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation
- (2020) Tao Lin et al. Environmental Research Letters
- Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
- (2020) Hainie Zha et al. Remote Sensing
- A CNN-RNN Framework for Crop Yield Prediction
- (2020) Saeed Khaki et al. Frontiers in Plant Science
- Progress of hyperspectral data processing and modelling for cereal crop nitrogen monitoring
- (2020) Yuanyuan Fu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine
- (2020) Juan Cao et al. EUROPEAN JOURNAL OF AGRONOMY
- In-Season Diagnosis of Rice Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages
- (2019) Shanyu Huang et al. Remote Sensing
- Response of biomass accumulation in wheat to low-temperature stress at jointing and booting stages
- (2018) Leilei Liu et al. ENVIRONMENTAL AND EXPERIMENTAL BOTANY
- Managing nitrogen for sustainable development
- (2015) Xin Zhang et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices
- (2014) Fei Li et al. FIELD CROPS RESEARCH
- Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression
- (2013) Fei Li et al. EUROPEAN JOURNAL OF AGRONOMY
- Corn Response to Nitrogen is Influenced by Soil Texture and Weather
- (2012) Nicolas Tremblay et al. AGRONOMY JOURNAL
- Critical Nitrogen Dilution Curve for Optimizing Nitrogen Management of Winter Wheat Production in the North China Plain
- (2012) Shanchao Yue et al. AGRONOMY JOURNAL
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation