AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR COTTON CROP YIELD PREDICTION USING WEATHER PARAMETERS: A CASE STUDY OF PAKISTAN

An Ensemble Machine Learning Framework for Cotton Crop Yield Prediction Using Weather Parameters: A Case Study of Pakistan

In Pakistan, agriculture is one of the most common and least lucrative professions.It provides between 18% and 25% of Pakistan’s overall gross domestic product (GDP).The majority of Pakistan’s crops, like cotton, are completely weather-dependent.Regarding this, farmers are constantly attempting to implement new techniques and technolo

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Natural based piperine derivatives as potent monoamine oxidase inhibitors: an in silico ADMET analysis and molecular docking studies

Abstract Neurodegenerative disorders follow numerous pathological ways concerning overexpression of monoamine oxidase and formation of reactive oxygen species.The computational design of the piperine derivatives has given the significant MAO inhibitors with considerable antioxidant potential.Molecular docking provided the mechanistic insight of the

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