Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection

Crop Performance Evaluation of Chickpea and Dry Pea Breeding Lines Across Seasons and Locations Using Phenomics Data

(2021) Chongyuan Zhang et al.   Frontiers in Plant Science

Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize

(2021) Alper Adak et al.   Plant Genome

Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning

(2021) Sebastian Varela et al.   Remote Sensing

Crop yield prediction integrating genotype and weather variables using deep learning

(2021) Johnathon Shook et al.   PLoS One

Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning

(2021) Saeed Khaki et al.   Scientific Reports

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

(2020) Jichong Han et al.   Remote Sensing

A CNN-RNN Framework for Crop Yield Prediction

(2020) Saeed Khaki et al.   Frontiers in Plant Science

Yield estimation in cotton using UAV-based multi-sensor imagery

(2020) Aijing Feng et al.   BIOSYSTEMS ENGINEERING

Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

(2020) Yanghui Kang et al.   Environmental Research Letters

A Survey on Deep Learning for Multimodal Data Fusion

(2020) Jing Gao et al.   NEURAL COMPUTATION

Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean

(2020) Monica Herrero-Huerta et al.   Plant Methods

Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize

(2020) Mahlet T. Anche et al.   THEORETICAL AND APPLIED GENETICS

Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn

(2020) Hwang Lee et al.   Remote Sensing

Using UAV Collected RGB and Multispectral Images to Evaluate Winter Wheat Performance across a Site Characterized by Century-Old Biochar Patches in Belgium

(2020) Ramin Heidarian Dehkordi et al.   Remote Sensing

Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization

(2020) Hengqian Zhao et al.   Remote Sensing

Crop yield prediction using machine learning: A systematic literature review

(2020) Thomas van Klompenburg et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models

(2020) Petteri Nevavuori et al.   Remote Sensing

Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques

(2019) Ma. Luisa Buchaillot et al.   SENSORS

Detection of Spatial and Temporal Variability of Wheat Cultivars by High-Resolution Vegetation Indices

(2019) Stefano Marino et al.   Agronomy-Basel

Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants

(2019) Samuel O. Ihuoma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Crop yield prediction with deep convolutional neural networks

(2019) Petteri Nevavuori et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

(2019) Jie Sun et al.   SENSORS

Early Prediction of Soybean Traits through Color and Texture Features of Canopy RGB Imagery

(2019) Wenan Yuan et al.   Scientific Reports

Maize Canopy Temperature Extracted From UAV Thermal and RGB Imagery and Its Application in Water Stress Monitoring

(2019) Liyuan Zhang et al.   Frontiers in Plant Science

Soybean yield prediction from UAV using multimodal data fusion and deep learning

(2019) Maitiniyazi Maimaitijiang et al.   REMOTE SENSING OF ENVIRONMENT

Classification of Crop Tolerance to Heat and Drought—A Deep Convolutional Neural Networks Approach

(2019) Saeed Khaki et al.   Agronomy-Basel

Multimodal Machine Learning: A Survey and Taxonomy

(2018) Tadas Baltrusaitis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Beyond one-hot encoding: Lower dimensional target embedding

(2018) Pau Rodríguez et al.   IMAGE AND VISION COMPUTING

Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features

(2018) Roope Näsi et al.   Remote Sensing

How does inclusion of weather forecasting impact in-season crop model predictions?

(2017) Kaitlin Togliatti et al.   FIELD CROPS RESEARCH

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

(2017) Maitiniyazi Maimaitijiang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth

(2017) Xuehai Zhang et al.   PLANT PHYSIOLOGY

Development of Spectral Disease Indices for ‘Flavescence Dorée’ Grapevine Disease Identification

(2017) et al.   SENSORS

Comparative Performance of Ground vs. Aerially Assessed RGB and Multispectral Indices for Early-Growth Evaluation of Maize Performance under Phosphorus Fertilization

(2017) Adrian Gracia-Romero et al.   Frontiers in Plant Science

Singularity: Scientific containers for mobility of compute

(2017) Gregory M. Kurtzer et al.   PLoS One

Wheat yield prediction using machine learning and advanced sensing techniques

(2016) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding

(2016) Geng Bai et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Current warming will reduce yields unless maize breeding and seed systems adapt immediately

(2016) A. J. Challinor et al.   Nature Climate Change

Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

(2016) Jessica Rutkoski et al.   G3-Genes Genomes Genetics

Random Forests for Global and Regional Crop Yield Predictions

(2016) Jig Han Jeong et al.   PLoS One

Evaluating the relationship between biomass, percent groundcover and remote sensing indices across six winter cover crop fields in Maryland, United States

(2015) Kusuma Prabhakara et al.   International Journal of Applied Earth Observation and Geoinformation

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Image-based phenotyping of plant disease symptoms

(2015) Andrew M. Mutka et al.   Frontiers in Plant Science

Value of Using Different Vegetative Indices to Quantify Agricultural Crop Characteristics at Different Growth Stages under Varying Management Practices

(2010) Jerry L. Hatfield et al.   Remote Sensing