Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maize

Impacts, Tolerance, Adaptation, and Mitigation of Heat Stress on Wheat under Changing Climates

(2022) Malu Ram Yadav et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Spatial predictions of maize yields using QUEFTS – A comparison of methods

(2022) Mirjam S. Breure et al.   GEODERMA

Usability of the Weather Forecast for Tackling Climatic Variability and Its Effect on Maize Crop Yield in Northeastern Hill Region of India

(2022) Debasish Chakraborty et al.   Agronomy-Basel

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

Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches

(2020) Xinlei Wang 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

Impact of extreme weather conditions on European crop production in 2018

(2020) Damien Beillouin et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

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

(2019) Jie Sun et al.   SENSORS

Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data

(2018) Sebastian Buschjager et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

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

(2018) Andrew Crane-Droesch   Environmental Research Letters

Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan

(2018) Ishfaq Ahmad et al.   Journal of the Indian Society of Remote Sensing

Random Forests for Global and Regional Crop Yield Predictions

(2016) Jig Han Jeong et al.   PLoS One

Coping with drought: stress and adaptive responses in potato and perspectives for improvement

(2015) Jude E. Obidiegwu   Frontiers in Plant Science

Maize yield forecasting by linear regression and artificial neural networks in Jilin, China

(2014) K. MATSUMURA et al.   JOURNAL OF AGRICULTURAL SCIENCE

Impact of climate change on agriculture in Northern Norway and potential strategies for adaptation

(2013) Eivind Uleberg et al.   CLIMATIC CHANGE

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

(2009) J.D. Rodriguez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE