An adaptive adversarial domain adaptation approach for corn yield prediction

A new attention-based CNN approach for crop mapping using time series Sentinel-2 images

(2021) Yumiao Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

(2021) Yuchi Ma et al.   REMOTE SENSING OF ENVIRONMENT

Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil

(2020) Raí A. Schwalbert et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States

(2020) Yumiao Wang et al.   Remote Sensing

Using deep transfer learning for image-based plant disease identification

(2020) Junde Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning

(2020) Luwei Feng et al.   Remote Sensing

Impacts of climate change on the optimum planting date of different maize cultivars in the central US Corn Belt

(2020) Mitch E. Baum et al.   EUROPEAN JOURNAL OF AGRONOMY

Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples

(2020) Pengyu Hao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning

(2020) Chen Sun et al.   SENSORS

Crop Yield Prediction Using Deep Neural Networks

(2019) Saeed Khaki et al.   Frontiers in Plant Science

Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure

(2019) Alwaseela Abdalla et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Review of Domain Adaptation without Target Labels

(2019) Wouter M. Kouw et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

(2018) Andrew Crane-Droesch   Environmental Research Letters

Why Jupyter is data scientists’ computational notebook of choice

(2018) Jeffrey M. Perkel   NATURE

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Cultivated land information extraction in UAV imagery based on deep convolutional neural network and transfer learning

(2017) Heng Lu et al.   Journal of Mountain Science

Plant identification using deep neural networks via optimization of transfer learning parameters

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields

(2017) Kaiyu Guan et al.   REMOTE SENSING OF ENVIRONMENT

Deep learning

(2015) Yann LeCun et al.   NATURE

Ecoregions of the Conterminous United States: Evolution of a Hierarchical Spatial Framework

(2014) James M. Omernik et al.   ENVIRONMENTAL MANAGEMENT

Greater Sensitivity to Drought Accompanies Maize Yield Increase in the U.S. Midwest

(2014) D. B. Lobell et al.   SCIENCE

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

(2013) Douglas K. Bolton et al.   AGRICULTURAL AND FOREST METEOROLOGY

Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields

(2013) Adam M. Sibley et al.   AGRONOMY JOURNAL

An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

(2013) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

The critical role of extreme heat for maize production in the United States

(2013) David B. Lobell et al.   Nature Climate Change

Crop Yield Gaps: Their Importance, Magnitudes, and Causes

(2009) David B. Lobell et al.   Annual Review of Environment and Resources

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

(2008) Christopher Daly et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Development of a two-band enhanced vegetation index without a blue band

(2008) Z JIANG et al.   REMOTE SENSING OF ENVIRONMENT