Research Website

http://www.purdue.edu/discoverypark/vaccine/

Keywords

Data Analysis, Visual Analytics, Effects of Weather on Growth of Grapes.

Presentation Type

Event

Research Abstract

Weather conditions such as Temperature, Relative Humidity, Solar Radiation, and wind have reportedly been the primary cause to the significant difference in the growth of grape vines across the world. Past research findings have clearly studied the underlying effects of these weather parameters on the growth of grapes, but minimum work has been done on how to accurately turn this data into useful information. This paper aims at providing an overview on how to manage, analyze, and finally visualize the weather data in a way that is convenient to the farmers and can therefore help in the growth of grapes. The Analysis involves writing a series of code scripts (in C++, Perl, MySQL, LibCurl) to connect to the server, decode the measured data, and upload it to the local database. The data was measured using EMG50 Decagon data loggers from vineyards in Napa, California. The initial visualization of the data includes temperature and moisture excel plots showing different variations of these parameters at different depth levels. It is evident that different kinds of soils retain different amounts of water and there is a general linear trend of moisture and temperature values at various depths. This is an ongoing project, and more advanced techniques are being used to scientifically visualize the data measurements. Techniques like Linear and weighted Interpolation, 3D Visualizations, Using Kernel Density Estimation and other advanced techniques will be applied to accurately visualize these data sets.

Session Track

Data Analytics

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Aug 7th, 12:00 AM

Visual Feedback on the Effects of Temperature, Moisture, Relative Humidity, Solar Radiation, Wind and Precipitation on Growth and Production of Grapes.

Weather conditions such as Temperature, Relative Humidity, Solar Radiation, and wind have reportedly been the primary cause to the significant difference in the growth of grape vines across the world. Past research findings have clearly studied the underlying effects of these weather parameters on the growth of grapes, but minimum work has been done on how to accurately turn this data into useful information. This paper aims at providing an overview on how to manage, analyze, and finally visualize the weather data in a way that is convenient to the farmers and can therefore help in the growth of grapes. The Analysis involves writing a series of code scripts (in C++, Perl, MySQL, LibCurl) to connect to the server, decode the measured data, and upload it to the local database. The data was measured using EMG50 Decagon data loggers from vineyards in Napa, California. The initial visualization of the data includes temperature and moisture excel plots showing different variations of these parameters at different depth levels. It is evident that different kinds of soils retain different amounts of water and there is a general linear trend of moisture and temperature values at various depths. This is an ongoing project, and more advanced techniques are being used to scientifically visualize the data measurements. Techniques like Linear and weighted Interpolation, 3D Visualizations, Using Kernel Density Estimation and other advanced techniques will be applied to accurately visualize these data sets.

http://docs.lib.purdue.edu/surf/2014/presentations/84