This study explores the use of real time data mining methods to provide quick insight to entrepreneurs and organizations invested in the food production industry, enabling them to increase efficiency in decision making and problem solving process. It analyzes food production data worldwide as obtained from the FAO database, known as the Food Balance Sheets. The study tracks the increase in overall food production since 1961 till 2013, compares the production of feed and food of the major regions in 2013, and takes special cognizance of production of meat based products and the difference in production levels in 1961 and 2013. The study also provides recommendations to increase production of meat based and vegetable products in the African Subcontinent and invest in the diverse products offered by Africa and Asia.

Real Time Analytics Data Analytics Assignment

Analyzing datasets to generate innovative analytics solutions for a Global Food Consulting firm in the area of Animal agriculture and factory farming.

Real-time data mining helps food industry make better decisions. Analyzing global food production data from FAO database.

Real Time Analytics for Food Production: A Study on Worldwide Trends

Data Science and Big Data

(PDF) Real-Time Big Data Analytics

Political Science

Real World Analytics   -  Assignment

The report discusses the challenges faced by farmers due to the growing population and increased demand for food. Effects of climate change, soil erosion, and declining biodiversity on agriculture are highlighted. The issue's relevance to agriculture and effects on the market are also discussed.

Rising Population and Increased Demand for Food: Challenges Faced by Farmers

Analytics Dashboard

This report analyzes the trends in production and consumption of food, feed and meat across different parts of the globe between 1961 and 2013. The report uses IBM Watson software for visualization and recommends more efficient production techniques to avoid potential food crisis and food inflation in the future.

Hartpury University and Hartpury College

Real World Analytics: Trends in Production and Consumption of Food, Feed and Meat

The study analyzes and interprets the trends in the growth of demand and supply of foods and related agricultural products, over the last few decades, across different parts of the world, thereby highlighting the extent and magnitude of problems related to demand-supply mismatch in different areas. The study uses IBM Watson software for analysis and interpretation of data. The target audience is governments, academic institutions, and non-profit institutions working on the development aspects of agricultural sectors of different parts of the world.

Economics

Real Time Analytics: Trends in Demand and Supply of Food and Agricultural Products

This project is a business investigation project gone at producing inventive investigation solutions for a Global Food Consulting firm working in the region of Animal agriculture and production line farming. The objective is to analyse the given datasets from applicable company's point of view regarding suggestions and techniques which a nation could receive to deal with the Food assets productively and successfully.

Real Time Analytics for Food Production: A Study on Worldwide Trends

(PDF) Real-Time Big Data Analyticslg...

Real World Analytics - Assignmentlg...

Rising Population and Increased Demand for Food: Challenges Faced by Farmerslg...

Real World Analytics: Trends in Production and Consumption of Food, Feed and Meatlg...

Real Time Analytics: Trends in Demand and Supply of Food and Agricultural Productslg...

Real Time Analytics for Global Food Consulting Firmlg...

(PDF) Real-Time Big Data Analytics

Real World Analytics - Assignment

Rising Population and Increased Demand for Food: Challenges Faced by Farmers

Real World Analytics: Trends in Production and Consumption of Food, Feed and Meat

Real Time Analytics: Trends in Demand and Supply of Food and Agricultural Products

Real Time Analytics for Global Food Consulting Firm