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description.txt
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1. Title of Database: Crops Data
2. Sources:
(a) Origin owners Of Database:
Department of Computer Application
National Institute Of Technology, Raipur
(contact:Afsar Ahmad 918630321244,[email protected])
(b) Donor of database:
Afsar Ahmad (MCA 3rd year NIT , Raipur [email protected])
Madhavi Kumari (MCA 3rd year NIT ,Raipur kumarimadhavi25"gmail.com)
3. Past Usage:
Dataset was used in All India Research Championship(AIRC) at (IIT kanpur)
-- Test set performance (final 1044 examples, first 3133 used for training):
24.86% Cascade-Correlation (no hidden nodes)
26.25% Cascade-Correlation (5 hidden nodes)
21.5% C4.5
0.0% Linear Discriminate Analysis
3.57% k=2 Nearest Neighbour
(Problem encoded as a classification task)
-- Data set samples are highly overlapped. Further information is required
to separate completely using affine combinations. Other restrictions
to data set examined.
4. Relevant Information Paragraph:
Dataset can be used to train the Machine Learning model which will
predict whether irrigation is required or not based on the values
of 5 parametrs.
From the original data examples with missing values were removed (the
majority having the predicted value missing), and the ranges of the
continuous values have been scaled.
6. Number of Attributes: 6
7. Attribute information:
Given is the attribute name, attribute type, the measurement unit and a
brief description. The number of class is the value to predict: either
as a continuous value or as a classification problem.
Name Data Type Meas. Description
---- --------- ----- -----------
CropType nominal fixed Numeric values (1->Wheat blow is for all)
CropDays nominal Days passed after sowing crop
SoilMoisture continuous DHT11 Soil Moisture , Can be read by soil moisture sensor
temperature continuous °C perpendicular to length
Humidity continuous % with meat in shell
Y (class) Binary 1 for Irrigation required 0 for not
CropTypes possible Values
Value Crop
---- ----
1 Wheat
2 Ground Nuts
3 Garden flowers
4 Maize
5 Paddy
6 Potato
7 pulse
8 SugerCane
9 coffee