Monitoring and forecasting crop yields is a critical component of understanding and better addressing global food security challenges.Detailed spatial information on crop-type distribution is fundamental for in-season crop condition monitoring and yields forecasting over large agricultural areas, as it enables the extraction of crop-specific signal
The main purpose of this study was to develop and apply a neural network (NN) approach and an adaptive neuro-fuzzy inference system (ANFIS) model for forecasting the attendance rates at soccer games.The models were designed based on the characteristics of the problem.Past real data was used.Training data was Revolving Chopper used for training the
The design is intended to create new work that focus on textile artwork to convey messages related to birth by exploring visual, symbol, and processing colors and techniques.The purpose of this artwork is to convey messages related to anti-drug Tool Boxes awareness through textile artwork for an aesthetic element of the interior.The method used in
Chemical composition of root and shoot litter controls decomposition and, subsequently, C availability for biological nitrogen transformation processes in soils.While aboveground plant residues have been proven to increase N2O emissions, studies on root litter effects are scarce.This study aimed (1) to evaluate how fresh maize root litter affects N