Add new file

Notebook_file

+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+Day = int(input("Press Enter to continue..."))
+
+
+# In[2]:
+
+
+Day
+
+
+# In[3]:
+
+
+import pandas as pd
+dataset = pd.read_excel("Plant_Life_Cycle_dataset3.xlsx")
+
+
+# In[4]:
+
+
+dataset["Days"] = dataset["Days"].fillna(0)
+
+
+# In[5]:
+
+
+dataset = dataset.astype({'Days':'int'})
+
+
+# In[6]:
+
+
+record = dataset.loc[dataset["Days"] == Day]
+
+
+# In[7]:
+
+
+record
+
+
+# In[8]:
+
+
+min_Height = record._get_value(Day-1,'min_Height')
+max_Height = record._get_value(Day-1,"max_Height")
+min_Leaves = record._get_value(Day-1,"min_Leaves")
+max_Leaves = record._get_value(Day-1,"max_Leaves")
+min_Area = record._get_value(Day-1,"min_Area")
+max_Area = record._get_value(Day-1,"max_Area")
+Remarks = record._get_value(Day-1,"Remarks")
+
+
+# In[9]:
+
+
+source = '7.jpeg'
+
+
+# In[10]:
+
+
+get_ipython().system('python NewdetectforIpynb.py --weight best.pt --source {source} --min_Height {min_Height} --max_Height {max_Height} --min_Leaves {min_Leaves} --max_Leaves {max_Leaves} --min_Area {min_Area} --max_Area {max_Area}')
+
+
+# In[11]:
+
+
+recommendation = pd.read_csv("test.csv")
+
+
+# In[12]:
+
+
+State = recommendation._get_value(0,"State")
+recomnd1 = recommendation._get_value(0,"recommendation1")
+recomnd2 = recommendation._get_value(0,"recommendation2")
+
+print(f'State Of the Plant is -- {State}')
+if len(str(recomnd2)) > 5:
+    print(f'Recommendation to the Plant is -- {recomnd2}')
+
+if len(str(recomnd1)) > 5:
+    print(f'Recommendation to the Plant is -- {recomnd1}')
+
+
+# In[ ]:
+
+
+
+
+
+# In[ ]:
+
+
+
+