Category: Descriptive and predictive analytics using machine learning algorithms

The rainfall data are collected from the website of agriculture department (data.gov.in). Rainfall dataset consists of 150 years of data from 1901 to 2015. The attributes of the data such as annual rainfall and rainfall of every season for each year are provided on the website.

In this chapter, an illustration of forecasting the rainfall level using the time series analysis method is provided. The flow of the process goes as data collection, then cleansing of the data, model building and finally visualization (Figure 2.5).

The study of data analytics can be divided in traditional data analytics and big data analytics. The main processes are input, processing and output, and the framework of the analytics is determined on the basis of perspective-​oriented and result-​oriented concerns. The tools used for processing the data analytics environment are Apache, SPSS, Storm, Dryad, R,…

A wide range of statistical methods are used for the various analyses done in agriculture sector to make today’s agriculture smarter. Technology comprising models has proved to be helpful in getting more production in agriculture and it also can easily handle some of unexpected problems such as floods, draughts and demands during food shortages. Table 2.2 shows the…

Statistics is a branch of mathematics based on mathematical techniques applied to data. From the prehistoric times, statistics has provided efficient problem-​solving methodologies. The major operations of statistics are collecting and reviewing data, analysing and interpreting data and showing results in summarized manner (Kumar and Choudhry 2010). Some of the statistical methods useful in machine…

Data analytics life cycle consists of six stages to solve problems and taking better decision according to the data. Like data mining, analytics also follows a prescribed channel to handle the data. The phases include discovering the problem, preparing data, model planning, model building, visualization of results and operationalization (Poudel 2016) (Figure 2.4).

Data analytics and advanced mining technologies analyse data with exploratory data analysis which is used to describe data and establish a pattern and relationship in the data with the help of statistical methods. Confirmatory data analysis evaluates data using statistical methods. Data analytics analyse the data in the manner described in Figure 2.2. Data can be…

Rainfall is the base variable for crop production. Meteorological department estimates the rainfall level of India. There are six regional meteorological centres throughout India. India is the highest producer of crops. Crops are divided based on seasons such as rabi, kharif and zaid crops. Rabi crops are harvested during the months of September–​October. Kharif crops…