Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning
出版年份 2022 全文链接
标题
Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning
作者
关键词
-
出版物
Remote Sensing
Volume 14, Issue 2, Pages 394
出版商
MDPI AG
发表日期
2022-01-17
DOI
10.3390/rs14020394
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Corn Nitrogen Status Diagnosis with an Innovative Multi-Parameter Crop Circle Phenom Sensing System
- (2021) Cadan Cummings et al. Remote Sensing
- Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments
- (2021) Muhammad Hammad Saleem et al. PRECISION AGRICULTURE
- Corn nitrogen rate recommendation tools’ performance across eight US midwest corn belt states
- (2020) Curtis J. Ransom et al. AGRONOMY JOURNAL
- Applied use of growing degree days to refine optimum times for nitrogen stress sensing in winter wheat
- (2020) Jagmandeep S. Dhillon et al. AGRONOMY JOURNAL
- Chlorophyll meter–based nitrogen fertilizer optimization algorithm and nitrogen nutrition index for in‐season fertilization of paddy rice
- (2020) Ke Zhang et al. AGRONOMY JOURNAL
- Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
- (2020) Hainie Zha et al. Remote Sensing
- Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
- (2020) Luwei Feng et al. Remote Sensing
- Crop Sensor Based Non-destructive Estimation of Nitrogen Nutritional Status, Yield, and Grain Protein Content in Wheat
- (2020) Marta Aranguren et al. Agriculture-Basel
- Shoot- and tuber-based critical nitrogen dilution curves for the prediction of the N status in potato
- (2020) C.M. Giletto et al. EUROPEAN JOURNAL OF AGRONOMY
- Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn
- (2020) Xinbing Wang et al. EUROPEAN JOURNAL OF AGRONOMY
- Managing nitrogen to restore water quality in China
- (2019) ChaoQing Yu et al. NATURE
- Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach
- (2019) Mingzhu Xu et al. REMOTE SENSING OF ENVIRONMENT
- Water effects on optical canopy sensing for late-season site-specific nitrogen management of maize
- (2019) Tsz Him Lo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations
- (2019) Curtis J. Ransom et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Corn nitrogen management using NDVI and SPAD sensor-based data under conventional vs. reduced tillage systems
- (2019) Mohsen Edalat et al. JOURNAL OF PLANT NUTRITION
- In-Season Diagnosis of Rice Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages
- (2019) Shanyu Huang et al. Remote Sensing
- In-Season Diagnosis of Winter Wheat Nitrogen Status in Smallholder Farmer Fields Across a Village Using Unmanned Aerial Vehicle-Based Remote Sensing
- (2019) Zhichao Chen et al. Agronomy-Basel
- Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
- (2019) Lucas Prado Osco et al. Remote Sensing
- Deep learning models for plant disease detection and diagnosis
- (2018) Konstantinos P. Ferentinos COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Soil structure as an indicator of soil functions: A review
- (2018) E. Rabot et al. GEODERMA
- Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest Regression
- (2018) Rajasheker Pullanagari et al. Remote Sensing
- Improving an Active-Optical Reflectance Sensor Algorithm Using Soil and Weather Information
- (2018) G.M. Bean et al. AGRONOMY JOURNAL
- Assessing variation in maize grain nitrogen concentration and its implications for estimating nitrogen balance in the US North Central region
- (2018) Fatima A.M. Tenorio et al. FIELD CROPS RESEARCH
- Improving nitrogen use efficiency with minimal environmental risks using an active canopy sensor in a wheat-maize cropping system
- (2017) Qiang Cao et al. FIELD CROPS RESEARCH
- Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China
- (2017) Shanyu Huang et al. PEDOSPHERE
- Sensitivity of sensor-based nitrogen rates to selection of within-field calibration strips in winter wheat
- (2017) Stanisław M. Samborski et al. Crop & Pasture Science
- Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor
- (2017) Junjun Lu et al. Scientific Reports
- Growing degree days – Ecosystem indicator for changing diurnal temperatures and their impact on corn growth stages in Kansas
- (2016) Aavudai Anandhi ECOLOGICAL INDICATORS
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Wheat phenomics in the field by RapidScan: NDVI vs. NDRE
- (2016) David. J. Bonfil ISRAEL JOURNAL OF PLANT SCIENCES
- Active Optical Sensing of Spring Maize for In-Season Diagnosis of Nitrogen Status Based on Nitrogen Nutrition Index
- (2016) Tingting Xia et al. Remote Sensing
- Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems
- (2015) Qiang Cao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Managing nitrogen for sustainable development
- (2015) Xin Zhang et al. NATURE
- Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data
- (2015) Thanh-Tung Nguyen et al. TheScientificWorldJOURNAL
- Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration
- (2015) Xia Yao et al. Remote Sensing
- Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data
- (2015) Thanh-Tung Nguyen et al. Scientific World Journal
- Nitrogen Status Assessment for Variable Rate Fertilization in Maize through Hyperspectral Imagery
- (2014) Chiara Cilia et al. Remote Sensing
- Machine learning for neuroimaging with scikit-learn
- (2014) Alexandre Abraham et al. Frontiers in Neuroinformatics
- Changes in Nitrogen Use Traits Associated with Genetic Improvement for Grain Yield of Maize Hybrids Released in Different Decades
- (2013) Jason W. Haegele et al. CROP SCIENCE
- Corn Response to Nitrogen is Influenced by Soil Texture and Weather
- (2012) Nicolas Tremblay et al. AGRONOMY JOURNAL
- Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest
- (2012) Sandra Oliveira et al. FOREST ECOLOGY AND MANAGEMENT
- Use of a virtual-reference concept to interpret active crop canopy sensor data
- (2012) Kyle H. Holland et al. PRECISION AGRICULTURE
- Agronomic Responses of Corn to Planting Date and Plant Density
- (2011) Ryan J. Van Roekel et al. AGRONOMY JOURNAL
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Replicability of nitrogen recommendations from ramped calibration strips in winter wheat
- (2010) David C. Roberts et al. PRECISION AGRICULTURE
- Diagnosis tool for plant and crop N status in vegetative stage
- (2008) Gilles Lemaire et al. EUROPEAN JOURNAL OF AGRONOMY
- Responsive in-season nitrogen management for cereals
- (2007) J.F. Shanahan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Kernel number determination differs among maize hybrids in response to nitrogen
- (2007) K.E. D’Andrea et al. FIELD CROPS RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started