Table 1 Available literature of climate variability on wheat and maize with application of fuzzy logic modelling approach.
Country | Title | Key findings | References |
|---|---|---|---|
Bangladesh | Assessing the impacts of climate change on cereal production in Bangladesh: evidence from ARDL modeling approach | The study found that rainfall has a positive impact on cereal production in both the short and long-term. | (Chandio et al., 2022) |
Bangladesh | Impact Study of Climatic Variability on the Productivity of Major Crops in South Western Part of Bangladesh Using Fuzzy Logic | Climate change will negatively impact crop productivity in Bangladesh. Simulation study using historic climate data can help determine policy options and research needs. | (Shahadat et al., 2021) |
India | Fuzzy Expert system for the Impact of Climate Change in Indian Agriculture | There are numerous negative effects on agriculture resulting from unfavorable changes in the environment. | (Karthika et al., 2018) |
China | Impacts of climate change on drought risk of winter wheat in the North China Plain | Temperature increases will result in more frequent droughts and lower winter wheat yields. | (Zhang et al., 2021) |
Germany | Site-specific impacts of climate change on wheat production across regions of Germany using different CO2 response functions | Climate change will have varying impacts on wheat production across Germany. Different CO2 response functions affect yield, groundwater recharge, and nitrogen leaching. | (Kersebaum and Nendel, 2013) |
France | A meta-analysis of the predicted effects of climate change on wheat yields using simulation studies | Wheat yields are likely to increase with higher CO2 concentrations and moderate declines in precipitation. Results vary depending on local soils, farming practices, and other factors. | (Wilcox and Makowski, 2014) |
Australia | Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate | Similar to most cereals, wheat can be negatively impacted by heat and water stress during pollination, which also affects grain size after the reproductive phases. | (Collins and Chenu, 2021) |
South Africa | Yield reduction under climate warming varies among wheat cultivars in South Africa | It is expected that South Africa’s irrigation demand will rise 6.4% annually through 2050 as a result of the expected dry weather, further emphasizing the country’s restricted water supply. | (Shew et al., 2020) |
Ghana | Effect of rainfall and temperature variability on maize yield in the Asante Akim North District, Ghana | Rising yearly rainfall and temperature patterns positively impact the yield of maize | (Baffour-Ata et al., 2023) |
USA | Projections of spring wheat growth in Alaska: Opportunity and adaptations in a changing climate | Minimum temperature, precipitation, and precipitation scarcity are the climate variables that traditionally restrict springtime wheat yield. | (Harvey et al., 2021) |
India | Rain Prediction using Fuzzy Logic | Fuzzy logic is used in situations when exact inputs are not required and it can function without a mathematical model that maps inputs to outputs. | (Singla et al., 2019) |
Indonesia | Study of a Weather Prediction System Based on Fuzzy Logic Using Mamdani and Sugeno Methods | In an unpredictable environment, fuzzy systems can create intelligent systems. | (Setyanugraha et al., 2022) |
