北美商科代写 Final Project代写

Final Project

北美商科代写 The world population has grown six hundred percentage – from one billion to about six billion – in the last two hundred years.

Problem Description:

Sustainability of the human race in different parts of the world is challenged by the shortage of food. The world population has grown six hundred percentage – from one billion to about six billion – in the last two hundred years. According to the Population Institute, roughly, 230 thousand more babies are born every day. The World Food Programme estimates that about 795 million people do not have adequate food to lead a healthy life. About 3.1 million children die every year because of poor nutrition. On the other hand, land used for farming has been decreasing which makes the burden of food shortage acute. Regardless, simply attempting to increase the land available for farming is unlikely to sustain the needed food supply. To address this great problem, this project expects you to develop an analytics framework to aid soybeanfarmers select up to a given number of varieties of soybeans from a large set of available varieties to maximize the yield at a target farm.  北美商科代写

Every year soybean farmers make decisions about the varieties to be grown at their farm.While making this decision, they consider uncertainty due to weather, soil conditions, and yield studies of different varieties. They could choose just one variety or a mix of few varieties to hedge against uncertainties. You are expected to utilize the dataset provided to propose a framework which integrates descriptive, predictive, and prescriptive analytics to optimally select up to five varieties of soybeans.

Deliverables:  北美商科代写

1. Performexploratory data analytics to unearth patterns in the given data and utilize those patterns in making predictions and prescriptions.
2. Construct one or more prediction models to predict yield of different experimental varieties.
3. Optimize the portfolio of (experimental) varieties to be grown at the target farm. The optimal portfolio can have at most 5 varieties of soybean. It is not necessary but you are welcome to use the methods you learn in prescriptive analytics class to construct the optimal portfolio.

Data Sets:

1. Training Data for AgProject
2. Evaluation Dataset for AgProject

Key:  北美商科代写

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