Effects of climate change on productivity of agricultural crops in relation to diseases that attack them are difficult to predict because they are complex and nonlinear. To investigate these crop-disease-climate interactions, UKCIP02 scenarios predicting UK temperature and rainfall under high- and low-CO(2) emission scenarios for the 2020s and 2050s were combined with a crop-simulation model pr...

Eradicating hunger and malnutrition is a key development goal of the 21st century. We address the problem of optimally identifying seed varieties to reliably increase crop yield within a risk-sensitive decision making framework. Specifically, we introduce a novel hierarchical machine learning mechanism for predicting crop yield (the yield of different seed varieties of the same crop). We integr...

This paper presents an overview of the motivation for, and the use of time-series data mining in, a Geospatial Decision Support System (GDSS). Our approach is based on a combination of time-series data mining algorithms and spatial interpolation techniques. The initial focus of the system is to facilitate drought risk management. We develop two association rule mining algorithms and two interpo...

North part of Japan is one of the heaviest snowfall regions in winter. In a certain case, wet snow accretes to civil engineering structure such as power lines. There is a demand for the prediction that when the snow accretion will occur. General weather forecast is not enough resolution and meteorological variable for estimating snow accretion. By calculating weather condition on our own accoun...

This study estimates of the impact of climate change on yields for the four most commonly grown crops (millet, maize, sorghum and cassava) in Sub-Saharan Africa (SSA). A panel data approach is used to relate yields to standard weather variables, such as temperature and precipitation, and sophisticated weather measures, such as evapotranspiration and the standardized precipitation index (SPI). T...

kochia is one of those plants which have capability to grow in different environments and can be used as a valuable plant to produce biomass and seed. the purpose of this study was to evaluate the possibility of kochia planting in different dates as well as its resistance to cold weather of mashhad winter. seven sowing dates including 10th october, november, march, april, may, june and july and...

The Field experiments were conducted during 2012-19 to determine the effect of changing weather such as (Tmax, Tmin, Tavg, Solar radiation and CO2 concentration) on grain yield, LAI, Anthesis days maturity four rice cultivars i.e (Swarna sub 1, Sarjoo 52, Pant Dhan 4 NDR 359) at college forestry farm , SHUATS Prayagraj. DSSAT-CERES model was calibrated validated, for under Prayagraj conditions ...