├── README.md
└── presentation.py


/README.md:
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1 | # Simple-Soil-Analysis-in-Data-Science-using-Python
2 | This code was done using some packages which was the concepts of Data Science using Python. Packages such as Pandas, Numpy and Matplotlib - These packages was using in Data Science in Python.
3 | As this concept of code was Soil analysis using Data Science using Python.
4 | As we Taken some soils such as red soil, Black soil, Alluvial Soil, Laterite soil, Coastal Sandy soil in which crops are grown in these soil.Predicted crops grown in soil
5 | 
6 | For Example:
7 | ![Screenshot 2024-08-19 215411](https://github.com/user-attachments/assets/477ed56b-fdfd-4b7d-b01d-dc3ecd6f8ff4)
8 | 
9 | 


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/presentation.py:
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  1 | #Soil Analysis Using DataScience
  2 | import pandas as pd
  3 | import numpy as np
  4 | import matplotlib.pyplot as plt
  5 | print("Welcome")
  6 | print("\n")
  7 | print("Different types of soil on normal Climatic Condition")
  8 | print("\n")
  9 | print("Types of Soil")
 10 | print("\n")
 11 | s=["Red Soil","Black soil","Alluvial soil","Laterite soil","Coastal Sandy soil"]
 12 | soil=pd.Series(s,index=[1,2,3,4,5])
 13 | print(soil,end="")
 14 | print("\n")
 15 | 
 16 | print("Enter the type of soil in your area :")
 17 | soiltype=int(input())
 18 | if(soiltype==1):
 19 |     print('''
 20 | Crops which grow in Red Soil:
 21 |     1.Cotton
 22 |     2.Wheat
 23 |     3.Pulses:Gram,pigeon pea,and red gram
 24 |     4.Jowar
 25 |     5.Linseed
 26 |     6.Millet
 27 |     7.Potatoes
 28 | ''')
 29 | 
 30 | elif(soiltype==2):
 31 |     print('''
 32 | Crops which grow in Black Soil:
 33 |     1.Cotton
 34 |     2.Wheat
 35 |     3.Groundnut
 36 |     4.Sugarcane
 37 |     5.Rice
 38 |     6.Linseed
 39 |     7.Sunflower
 40 | ''')
 41 | 
 42 | elif(soiltype==3):
 43 |     print('''
 44 | Crops which grow in Alluvial Soil:
 45 |     1.Rice
 46 |     2.Wheat
 47 |     3.Pulses:Gram,pigeon pea,and red gram
 48 |     4.Fruits
 49 |     5.Jute
 50 |     6.Oilseeds
 51 |     7.Turmeric
 52 | ''')
 53 | 
 54 | elif(soiltype==4):
 55 |     print('''
 56 | Crops which grow in Laterite Soil:
 57 |     1.Coffee
 58 |     2.Tea
 59 |     3.Rubber
 60 |     4.Coconut
 61 |     5.Pineapple
 62 |     6.Cashew
 63 |     7.Tobacco
 64 | ''')
 65 | 
 66 | elif(soiltype==5):
 67 |     print('''
 68 | Crops which grow in Coastal Sandy Soil:
 69 |     1.Carrot
 70 |     2.Beetroot
 71 |     3.Cucumber
 72 |     4.Muskmelon
 73 |     5.Watermelon
 74 |     6.Raddish
 75 |     7.Cactus
 76 | ''')    
 77 | else:
 78 |     print("No crops to grow")
 79 | 
 80 | print("\n")
 81 | 
 82 | print("Do you need further details of soil: yes/No")
 83 | p=input()
 84 | 
 85 | if(p=='yes'):
 86 |     if(soiltype==1):
 87 |        Soilcontent=["Moisture","Chemical composition","pH level"]
 88 |        percentage=[16.2,10.4,5.2]
 89 |        plt.pie(percentage,labels=Soilcontent,autopct="%5.2f%%")
 90 |        plt.title("Red soil content prediction")
 91 |        plt.show()
 92 |        
 93 |     elif(soiltype==2):
 94 |        Soilcontent=["Moisture","Chemical composition","pH level"]
 95 |        percentage=[19.6,8.4,5.6]
 96 |        plt.pie(percentage,labels=Soilcontent,autopct="%5.2f%%")
 97 |        plt.title("Black soil content prediction")
 98 |        plt.show()
 99 | 
100 |     elif(soiltype==3):
101 |        Soilcontent=["Moisture","Chemical composition","pH level"]
102 |        percentage=[11.2,8.4,8.2]
103 |        plt.pie(percentage,labels=Soilcontent,autopct="%5.2f%%")
104 |        plt.title("Alluvial soil content prediction")
105 |        plt.show()
106 | 
107 | 
108 |     elif(soiltype==4):
109 |        Soilcontent=["Moisture","Chemical composition","pH level"]
110 |        percentage=[10.5,4.4,8.2]
111 |        plt.pie(percentage,labels=Soilcontent,autopct="%5.2f%%")
112 |        plt.title("Laterite soil content prediction")
113 |        plt.show()
114 | 
115 |     elif(soiltype==5):
116 |        Soilcontent=["Moisture","Chemical composition","pH level"]
117 |        percentage=[16.2,11.1,2.2]
118 |        plt.pie(percentage,labels=Soilcontent,autopct="%5.2f%%")
119 |        plt.title("Coastal Sandy soil content prediction")
120 |        plt.show()
121 | 
122 |     else:
123 |         print("Sorry! There was no soil found")
124 | 
125 |        
126 | 
127 | print("Thank you!!!")
128 | 
129 | 
130 | 
131 | 


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