Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method

Crop calendar optimization for climate change adaptation in rice-based multiple cropping systems of India and Bangladesh

(2022) Xiaobo Wang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches

(2021) Leonardo Felipe Maldaner et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Large potential for crop production adaptation depends on available future varieties

(2021) Florian Zabel et al.   GLOBAL CHANGE BIOLOGY

Geographically and temporally weighted neural network for winter wheat yield prediction

(2021) Luwei Feng et al.   REMOTE SENSING OF ENVIRONMENT

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

Wildfire Segmentation Using Deep Vision Transformers

(2021) Rafik Ghali et al.   Remote Sensing

An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China

(2021) Huiren Tian et al.   AGRICULTURAL AND FOREST METEOROLOGY

Towards interpreting multi-temporal deep learning models in crop mapping

(2021) Jinfan Xu et al.   REMOTE SENSING OF ENVIRONMENT

Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

(2020) Aleksandra Wolanin et al.   Environmental Research Letters

DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation

(2020) Tao Lin et al.   Environmental Research Letters

Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia

(2020) Geli Zhang et al.   Nature Communications

Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

(2020) Puyu Feng 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

Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction

(2020) Bin Peng et al.   International Journal of Applied Earth Observation and Geoinformation

DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

(2020) Jinfan Xu et al.   REMOTE SENSING OF ENVIRONMENT

Machine learning for large-scale crop yield forecasting

(2020) Dilli Paudel et al.   AGRICULTURAL SYSTEMS

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

Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S

(2019) Yan Li et al.   FIELD CROPS RESEARCH

High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data

(2019) Mrinal Singha et al.   Scientific Data

Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India

(2019) Rishabh Gupta et al.   AGRICULTURAL SYSTEMS

Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach

(2019) Yanghui Kang et al.   REMOTE SENSING OF ENVIRONMENT

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

(2019) Yaping Cai et al.   AGRICULTURAL AND FOREST METEOROLOGY

Production capacity analysis and energy saving of complex chemical processes using LSTM based on attention mechanism

(2019) Yongming Han et al.   APPLIED THERMAL ENGINEERING

Maize yield and nitrate loss prediction with machine learning algorithms

(2019) Mohsen Shahhosseini et al.   Environmental Research Letters

A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

(2019) Hao Jiang et al.   GLOBAL CHANGE BIOLOGY

Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data

(2019) Dipankar Mandal et al.   REMOTE SENSING OF ENVIRONMENT

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic Plains

(2018) Lian Song et al.   GLOBAL CHANGE BIOLOGY

Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data

(2018) Yi Chen et al.   EUROPEAN JOURNAL OF AGRONOMY

Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015

(2017) Geli Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Canopy near-infrared reflectance and terrestrial photosynthesis

(2017) Grayson Badgley et al.   Science Advances

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

(2016) Hamid Palangi et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Deep learning

(2015) Yann LeCun et al.   NATURE

The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes

(2015) Chris Funk et al.   Scientific Data

An assessment of regional vulnerability of rice to climate change in India

(2013) Naresh Kumar Soora et al.   CLIMATIC CHANGE

Temperatures and the growth and development of maize and rice: a review

(2013) Berta Sánchez et al.   GLOBAL CHANGE BIOLOGY