Digital t echnologies in agricult ure and rural areas stat us report

Int.J.Curr.Microbiol.App.Sci (2018) 7(12): 2122-2128 
2127 
At present in India, in the state of Andhra 
Pradesh, Microsoft Corporation is working 
with farmers rendering farm advisory services 
using Cortana Intelligence Suite including 
Machine Learning and Power BI, it enables in 
transforming the data into Intelligent Actions. 
This pilot project makes use of an AI based 
sowing 
application 
which 
recommends 
sowing date, preparation of cultivable land, 
fertigation based on soil analysis, FYM 
requirement and application, seed treatment 
and selection, optimization of sowing depth 
suggestions to the farmers which had resulted 
in an 30% increase in the average crop yield 
per ha. 
AI models can also be employed in 
recognizing optimal sowing period in various 
seasons, statistical climatic data, real time 
Moisture Adequacy Data (MAI)from daily 
rainfall statistics and soil moisture to 
construct forecast charts and also carter inputs 
on best sowing time to farmers. 
Forecasting potential pest attacks, Microsoft 
in collaboration with United Phosphorus 
Limited is developing a Pest Risk Prediction 
Application Programming Interface (API) that 
has a strategic advantage of AI and machine 
learning to signal in advance, the potential 
chances of pest attack (Figure 3). Grounded 
on the weather conditions, growth stage of the 
crop in field, pest attacks are forecast as high, 
medium or low. 

tải về 0.51 Mb.

Chia sẻ với bạn bè của bạn: