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Final Goal: Optimize the portfolio of (experimental) varieties to be grown at the target farm. Information about the target farm is available in the evaluation dataset. 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. If you are not familiar with optimization, come up with a meaningful heuristics to construct the portfolio.
You are encouraged to divide the project work into three components: Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics.
I. Descriptive Analytics
Perform an exploratory data analytics to unearth patterns in the given data to educate yourself about the given data. For example,

  1. Plot the latitudes and longitudes on a map to visualize the locations of farms. Identify where the target/evaluation farm is located. It should be noted that most of the farms are located in the Midwest of the US.
  2. Generate frequency distribution for varieties. Decide if you have enough data for each variety to build dedicated prediction models for every variety.
  3. Check to see if there is any relationship between the locations and varieties. Explore if certain varieties are grown more often in some regions than in other regions.
  4. Look for patterns in weather variables. Explore relationships between locations and weather related variables.
  5. Plot the distribution of the yield variables. Based on the plot, what do you think a realistic goal for the optimal portfolio at the target farm?

II. Predictive Analytics
Decide a target variable to help you with the project goal. Variety_Yield and Yield_Difference are good candidates for the target variable. Based on the frequency distribution generated in the descriptive analytics, decide which varieties will have its own prediction model. Also, decide which varieties are going to be combined in the same model. Have an identifier for varieties in the combined model so that predictions can be made for individual varieties. Generate models using the following algorithms (if your target variable is continuous):

  1. Linear Regression
  2. LASSO
  3. Regression Tree
  4. Bagging
  5. Random Forest
  6. Boosted Trees
  7. Neural Network
    Generate models using the following algorithms (if your target variable is categorical):
  8. Logistic Regression
  9. Classification Tree
  10. Bagging
  11. Random Forest
  12. Boosted Trees
  13. Neural Network
  14. Support Vector Machine
    Using these models, predict the yield or yield difference for every potential variety at the target/evaluation farm. Depending upon the choice of your target variable, these predictions need not be yield or yield difference. Make predictions for multiple weather related uncertainties. Ensure that chosen weather related scenarios are suitable for the location of the target / evaluation farm.
    III. Prescriptive Analytics
    Optimize the portfolio of (experimental) varieties to be grown at the target farm. Experimental varieties are in the column identified as ‘Varieties’. The optimal portfolio can have at most 5 varieties of soybean. It is not necessary but you are welcome to use the methods from the prescriptive analytics class or other optimization classes to construct the optimal portfolio. If you are not familiar with optimization, you can invent your own heuristic to make the recommendation. There will not be any grade penalty for not using optimization. Using a good heuristic will be sufficient to get a good score for this part of the project.
    Your recommendation should explicitly identify the varieties to be grown and percentage of the farm land allocated for growing those varieties. The percentage of the farm land should add up to 100 percent. Here are two sample heuristics,
  15. Naïve Heuristics
    Based on the predictions, rank the varieties according to their yield potential and recommend the top 5 varieties to be grown at the farm. You could potentially allocate 20 percent of the land for each variety.
  16. Mean-Risk Heuristics
    Based on the predictions, rank varieties based on the mean yield and risk in yield. Recommend the top 5 varieties in these rankings. Allocate land based on the mean yield and risk in yield.
    Key things to remember while writing the report
    Perform a literature search using library resources to identify journal publications relevant to your topic. In the literature, do you find interesting methods to make similar recommendations? What do you think about those methods? How is your approach different from those methods? Did your project add incremental value to these existing publications? Note: Utilize at least six peer-reviewed journal (Management Science, Interfaces, Operations Research, Journal of Operations Management, Production of Operations Management, Journal of Portfolio Management, Journal of Finance, etc) or conference articles to synthesize your arguments about the existing methods in the literature.
    The final report should include Title of the project, Abstract, Keywords, Introduction, Literature Review, Methodology and Analysis, Conclusion, and References.
    Remember to include the following components in your report:
    1) Title. Convey a message using 12 words. Readers should understand the content of the entire report by just reading the title.
    2) Abstract. Summarize your report using 300 words. Some readers would read just the abstract to figure out if they would like to read the entire report. You should write a captivating summary of the entire report here.
    Note: You should just read the title and abstract of many publications as part of your literature review before deciding on the articles that you would like to utilize in your project.
    3) Keywords. Include three to five keywords relevant to your project.
    4) Introduction. This section should introduce your project. You should include discussions about: What is the motivation behind this project? What is the goal of this project? Which organization benefits from this study? What are the Research Question(s) answered by this project? What methods were utilized? What are the important results and conclusions?
    5) Literature Review. Utilize library databases like JSTOR, INFORMS, PUBMED, etc. to find relevant studies (peer-reviewed articles) to your topic. Do you find publications addressing this same problem? Did you add more value to the existing literature by completing this project?
    Note: Do not base your opinion/findings based on articles that are not peer-reviewed i.e. utilizing newspapers and magazines articles alone are not adequate.
    6) Methodology and Analysis. Concisely describe the methods and analysis used in the project.
    7) Conclusion – Summarize your methods, analysis, results, and recommendations. What is unique about your work? What are the findings? Are there any surprises? Are the findings beneficial to any organization?
    8) References – Include references from your Literature Review.

Sample Answer

Compelling correspondence is essential to the achievement all things considered but since of the changing idea of the present working environments, successful correspondence turns out to be more troublesome, and because of the numerous impediments that will permit beneficiaries to acknowledge the plan of the sender It is restricted. Misguided judgments.In spite of the fact that correspondence inside the association is rarely completely open, numerous straightforward arrangements can be executed to advance the effect of these hindrances.

Concerning specific contextual analysis, two significant correspondence standards, correspondence channel determination and commotion are self-evident. This course presents the standards of correspondence, the act of general correspondence, and different speculations to all the more likely comprehend the correspondence exchanges experienced in regular daily existence. The standards and practices that you learn in this course give the premise to additionally learning and correspondence.

This course starts with an outline of the correspondence cycle, the method of reasoning and hypothesis. In resulting modules of the course, we will look at explicit use of relational connections in close to home and expert life. These incorporate relational correspondence, bunch correspondence and dynamic, authoritative correspondence in the work environment or relational correspondence. Rule of Business Communication In request to make correspondence viable, it is important to follow a few rules and standards. Seven of them are fundamental and applicable, and these are clear, finished, brief, obliging, right, thought to be, concrete. These standards are frequently called 7C for business correspondence. The subtleties of these correspondence standards are examined underneath: Politeness Principle: When conveying, we should build up a cordial relationship with every individual who sends data to us.

To be inviting and polite is indistinguishable, and politeness requires an insightful and amicable activity against others. Axioms are notable that gracious “pay of graciousness is the main thing to win everything”. Correspondence staff ought to consistently remember this. The accompanying standards may assist with improving courtesy:Preliminary considering correspondence with family All glad families have the mystery of progress. This achievement originates from a strong establishment of closeness and closeness. Indeed, through private correspondence these cozy family connections become all the more intently. Correspondence is the foundation of different affiliations, building solid partners of obedient devotion, improving family way of life, and assisting with accomplishing satisfaction (Gosche, p. 1). In any case, so as to keep up an amicable relationship, a few families experienced tumultuous encounters. Correspondence in the family is an intricate and alluring marvel. Correspondence between families isn’t restricted to single messages between families or verbal correspondence.

It is a unique cycle that oversees force, closeness and limits, cohesiveness and flexibility of route frameworks, and makes pictures, topics, stories, ceremonies, rules, jobs, making implications, making a feeling of family life An intelligent cycle that makes a model. This model has passed ages. Notwithstanding the view as a family and family automatic framework, one of the greatest exploration establishments in between family correspondence centers around a family correspondence model. Family correspondence model (FCP) hypothesis clarifies why families impart in their own specific manner dependent on one another ‘s psychological direction. Early FCP research established in media research is keen on how families handle broad communications data. Family correspondence was perceived as an exceptional scholastic exploration field by the National Communications Association in 1989. Family correspondence researchers were at first impacted by family research, social brain science, and relational hypothesis, before long built up the hypothesis and began research in a family framework zeroed in on a significant job. Until 2001, the primary issue of the Family Communication Research Journal, Family Communication Magazine, was given. Family correspondence is more than the field of correspondence analysts in the family. Examination on family correspondence is normally done by individuals in brain science, humanism, and family research, to give some examples models. However, as the popular family correspondence researcher Leslie Baxter stated, it is the focal point of this intelligent semantic creation measure making the grant of family correspondence special. In the field of in-home correspondence, correspondence is normally not founded on autonomous messages from one sender to one beneficiary, yet dependent on the dynamic interdependency of data shared among families It is conceptualized. The focal point of this methodology is on the shared trait of semantic development inside family frameworks. As such, producing doesn’t happen in vacuum, however it happens in a wide scope of ages and social exchange.

Standards are rules end up being followed when performing work to agree to a given objective. Hierarchical achievement relies significantly upon compelling correspondence. So as to successfully impart, it is important to follow a few standards and rules. Coming up next are rules to guarantee powerful correspondence: clearness: lucidity of data is a significant guideline of correspondence. For beneficiaries to know the message plainly, the messages ought to be sorted out in a basic language. To guarantee that beneficiaries can without much of a stretch comprehend the importance of the message, the sender needs to impart unmistakably and unhesitatingly so the beneficiary can plainly and unquestionably comprehend the data.>

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