File size: 1,126 Bytes
4274361
 
7b54e92
 
5c202cd
0d8c862
4274361
5fe6d3f
0d8c862
 
 
 
4274361
0d8c862
5fe6d3f
 
0d8c862
4274361
0d8c862
 
 
 
 
 
 
 
5820a3c
4274361
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
import streamlit as st
from PIL import Image
import folium
from streamlit_folium import st_folium

st.set_page_config(layout="wide")
image = Image.open('data/logo.png')
image=image.resize((100,100))
APP_SUB_TITLE = "by Omdena Milan chapter πŸ‘‡ (https://omdena.com/local-chapters/milan-italy-chapter/)"
with st.sidebar:
    logo = st.image(image)
    st.caption(APP_SUB_TITLE)

import streamlit as st


st.title("AI for sustainable agriculture and foood systems:Use of Satellite Imagery")

st.markdown('''Over five weeks in October 2022, Omdena-Milan Local Chapter collaborators completed
a local chapter challenge on applying Artificial Intelligence (AI) and Satellite imagery for
sustainable agri-food systems.To this end, the Omdena-Milan Local Chapter collaborators explored
various machine learning (ML) and data science techniques and geographic information systems (GIS)
methods. The team worked on different tasks which are independent of each other to address the same 
project goal. For demonstration, the team integrated all of them into one dashboard with good usability
for non-technical decision-makers. 
''')