Related references
Note: Only part of the references are listed.Spatiotemporal characteristics of meteorological drought variability and trends (1981-2020) over South Asia and the associated large-scale circulation patterns
Irfan Ullah et al.
CLIMATE DYNAMICS (2023)
Spatial distribution and identification of potential risk regions to rice blast disease in different rice ecosystems of Karnataka
Chittaragi Amoghavarsha et al.
SCIENTIFIC REPORTS (2022)
Vulnerability of Barley, Maize, and Wheat Yields to Variations in Growing Season Precipitation in Morocco
Soumia Achli et al.
APPLIED SCIENCES-BASEL (2022)
Model-based evaluation of rainfed lowland rice responses to N fertiliser in variable hydro-edaphic wetlands of East Africa
Kristina Grotelueschen et al.
FIELD CROPS RESEARCH (2022)
Research into Meteorological Drought in Poland during the Growing Season from 1951 to 2020 Using the Standardized Precipitation Index
Robert Kalbarczyk et al.
AGRONOMY-BASEL (2022)
Machine Learning-Based Processing of Multispectral and RGB UAV Imagery for the Multitemporal Monitoring of Vineyard Water Status
Patricia Lopez-Garcia et al.
AGRONOMY-BASEL (2022)
Integrated phenology and climate in rice yields prediction using machine learning methods
Yahui Guo et al.
ECOLOGICAL INDICATORS (2021)
Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques
Lasini Wickramasinghe et al.
JOURNAL OF MATHEMATICS (2021)
Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments
Aftab Wajid et al.
AGRICULTURE-BASEL (2021)
Combined Effects of Ventilation and Irrigation on Temperature, Humidity, Tomato Yield, and Quality in the Greenhouse
Jiankun Ge et al.
HORTSCIENCE (2021)
Temporal and Spatial Variation Characteristics of Precipitation in the Haihe River Basin under the Influence of Climate Change
Yuhang Han et al.
WATER (2021)
Rice yield response forecasting tool (YIELDCAST) for supporting climate change adaptation decision in Sahel
Seydou Traore et al.
AGRICULTURAL WATER MANAGEMENT (2020)
Weather-Based Neural Network, Stepwise Linear and Sparse Regression Approach for Rabi Sorghum Yield Forecasting of Karnataka, India
Shankarappa Sridhara et al.
AGRONOMY-BASEL (2020)
Prediction of organic potato yield using tillage systems and soil properties by artificial neural network (ANN) and multiple linear regressions (MLR)
Khaoula Abrougui et al.
SOIL & TILLAGE RESEARCH (2019)
Multiple regression models and Artificial Neural Network (ANN) as prediction tools of changes in overall quality during the storage of spreadable processed Gouda cheese
J. Stangierski et al.
EUROPEAN FOOD RESEARCH AND TECHNOLOGY (2019)
Trends in wheat yields under representative climate futures: Implications for climate adaptation
Chris Taylor et al.
AGRICULTURAL SYSTEMS (2018)
Accounting for long-term soil fertility effects when assessing the climate impact of crop cultivation
Kajsa Henryson et al.
AGRICULTURAL SYSTEMS (2018)
Prediction of cotton lint yield from phenology of crop indices using artificial neural networks
Amir Haghverdi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India
Bappa Das et al.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY (2018)
The role of storage dynamics in annual wheat prices
Jacob Schewe et al.
ENVIRONMENTAL RESEARCH LETTERS (2017)
The influence of fertiliser and pesticide emissions model on life cycle assessment of agricultural products: The case of Danish and Italian barley
Ximena C. Schmidt Rivera et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
Understanding the weather signal in national crop-yield variability
Katja Frieler et al.
EARTHS FUTURE (2017)
Significance of Weather Variables during Critical Growth Stages for Hybrid Rice Production in Subtropical India
Arunbabu Talla et al.
AGRONOMY JOURNAL (2017)
Comparison of different uni- and multi-variate techniques for monitoring leaf water status as an indicator of water-deficit stress in wheat through spectroscopy
Bappa Das et al.
BIOSYSTEMS ENGINEERING (2017)
Responses of wheat and rice to factorial combinations of ambient and elevated CO2 and temperature in FACE experiments
Chuang Cai et al.
GLOBAL CHANGE BIOLOGY (2016)
The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling
Felipe F. Bocca et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
Adaptation strategies for rice cultivation under climate change in Central Vietnam
Sangam Shrestha et al.
MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE (2016)
Responses of rice yields in different rice-cropping systems to climate variables in the middle and lower reaches of the Yangtze River, China
Lechan Yang et al.
FOOD SECURITY (2015)
Trend analysis in climatic variables and impacts on rice yield in Nigeria
C. O. Akinbile et al.
JOURNAL OF WATER AND CLIMATE CHANGE (2015)
Global warming over the period 1961-2008 did not increase high-temperature stress but did reduce low-temperature stress in irrigated rice across China
Wen Sun et al.
AGRICULTURAL AND FOREST METEOROLOGY (2011)
Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy
Roman M. Balabin et al.
FUEL (2011)
Temperature and soil organic matter decomposition rates - synthesis of current knowledge and a way forward
Richard T. Conant et al.
GLOBAL CHANGE BIOLOGY (2011)
Climate Impacts on Agriculture: Implications for Crop Production
J. L. Hatfield et al.
AGRONOMY JOURNAL (2011)
On the use of statistical models to predict crop yield responses to climate change
David B. Lobell et al.
AGRICULTURAL AND FOREST METEOROLOGY (2010)
Statistical spring wheat yield forecasting for the Canadian prairie provinces
Budong Qian et al.
AGRICULTURAL AND FOREST METEOROLOGY (2009)
Building Predictive Models in R Using the caret Package
Max Kuhn
JOURNAL OF STATISTICAL SOFTWARE (2008)
Artificial neural networks for rice yield prediction in mountainous regions
B. Ji et al.
JOURNAL OF AGRICULTURAL SCIENCE (2007)
Stability of rice pollination in the field under hot and dry conditions in the Riverina region of New South Wales, Australia
Tsutomu Matsui et al.
PLANT PRODUCTION SCIENCE (2007)
Effects of drying and rewetting on carbon and nitrogen mineralization in soils and incorporated residues
JS Kruse et al.
NUTRIENT CYCLING IN AGROECOSYSTEMS (2004)
A graphical tool for assessing normality
ML Hazelton
AMERICAN STATISTICIAN (2003)
Share Paper
