Projecting changes of maize yield based on regional weather parameters using Artificial Neural Network
Maize is one of the largest food crop cultivated in Mubi region. It is produced annually and serves as the source of food and revenue. This work developed, an artificial neural network (ANN) model based on the data collected to forecast Maize yield in terms of weather parameters (Temperature and Rainfall). Predicted yield increased by 0.37 tons, 0.67 tons, 289.48tons and 0.17 tons in 2006, 2011, 2014 and 2015 and reduced by 0.52 tons, 0.32 tons, 5.53 tons, 15.44 tons, 0.45 tons and 0.25 tons ...
Assessing the influence of weather parameters
Rain serves as one of the key components in water cycle and it comes in the form of water droplets that are condensed from atmosphere and then fall on earth surface as rainfall. It has much importance. However, excessive rainfall can cause environmental hazards. This work developed an adaptive neuro – fuzzy inference system (ANFIS) to relate certain weather parameters (temperature and relative humidity) with rainfall in order to forecast the amount of rainfall capable of causing River Yazar...