Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India

Support vector regression coupled with wavelength selection as a robust analytical method

(2018) Felipe Soares et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Relationship between rice yield and climate variables in southwest Nigeria using multiple linear regression and support vector machine analysis

(2017) Philip G. Oguntunde et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Near-Infrared Calibration of Soluble Stem Carbohydrates for Predicting Drought Tolerance in Spring Wheat

(2016) Julia L. Piaskowski et al.   AGRONOMY JOURNAL

The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling

(2016) Felipe F. Bocca et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hybrid Neural Networks and Boosted Regression Tree Models for Predicting Roadside Particulate Matter

(2016) A. Suleiman et al.   ENVIRONMENTAL MODELING & ASSESSMENT

Grain yield and quality responses of tropical hybrid rice to high night-time temperature

(2016) Wanju Shi et al.   FIELD CROPS RESEARCH

Responses of wheat and rice to factorial combinations of ambient and elevated CO2 and temperature in FACE experiments

(2015) Chuang Cai et al.   GLOBAL CHANGE BIOLOGY

Responses of rice yields in different rice-cropping systems to climate variables in the middle and lower reaches of the Yangtze River, China

(2015) Lechan Yang et al.   Food Security

Trend analysis in climatic variables and impacts on rice yield in Nigeria

(2015) C. O. Akinbile et al.   Journal of Water and Climate Change

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Rice responses to rising temperatures - challenges, perspectives and future directions

(2014) S. V. K. JAGADISH et al.   PLANT CELL AND ENVIRONMENT

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

(2013) Berta Sánchez et al.   GLOBAL CHANGE BIOLOGY

A review on statistical models for identifying climate contributions to crop yields

(2013) Wenjiao Shi et al.   Journal of Geographical Sciences

Global warming over the period 1961–2008 did not increase high-temperature stress but did reduce low-temperature stress in irrigated rice across China

(2011) Wen Sun et al.   AGRICULTURAL AND FOREST METEOROLOGY

Climate Trends and Global Crop Production Since 1980

(2011) D. B. Lobell et al.   SCIENCE

Responses of rice yields to recent climate change in China: An empirical assessment based on long-term observations at different spatial scales (1981–2005)

(2010) Tianyi Zhang et al.   AGRICULTURAL AND FOREST METEOROLOGY

On the use of statistical models to predict crop yield responses to climate change

(2010) David B. Lobell et al.   AGRICULTURAL AND FOREST METEOROLOGY

Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy

(2010) Roman M. Balabin et al.   FUEL

Evaluation of long-term soil management practices using key indicators and soil quality indices in a semi-arid tropical Alfisol

(2008) K. L. Sharma et al.   AUSTRALIAN JOURNAL OF SOIL RESEARCH