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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 π (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. | |
''') | |