Big data analytics is increasingly important for agriculture as the global population grows. Analytics can reduce farming costs by $2.3 trillion according to researchers, including $250 billion from data analytics alone. Analytics provides real-time soil sensor data to optimize nutrition levels, utilizes GPS-enabled tractors, provides timely pest and disease reports from IoT sensors to efficiently manage threats, helps trace supply chains to reduce food waste, and enables near-accurate yield predictions using satellite data.

1. Analytics In
Agricultural
Domain
Submitted by:
Dhriti Garg
1937032
dhriti.garg@eco.christuniversity.in

2. Why Big Data Analytics in Agriculture
• Global population to reach 9.8 billion by 2050, thus increasing the
demand for food production
• Owing to the dip in farmland all over the world, need for precision
based farming over the traditional intuitive farming is gaining
momentum amongst the developed economies
• Market for analytics in agriculture is expected to grow at a CAGR
of 16.2% to US$1236 million by 2023 from US$ 585 million in
2018

3. Reduced costs and greater business potential
• As per academicians at Tufts University, Modern farming
practices can reduce costs by 2.3 trillion dollars
• Out of which 250 billion alone can accrue from data analytics
alone
• Lowered costs effectively mean higher profits which open
doors to better business opportunities

4. Soil health sensors
• Increasing Productivity Soil sensors giving real time data on
nutrition level in soil
• Regular reports on soil health
• This reduces nutrition overdose Enhances productivity
• Use of GPS enabled tractors

5. Better Pest and disease management
• Pest is any farmer’s nightmare that can destroy entire crop in
no time
• Hence , precise and timely data on pests can help farmers
• Eg: Agrosmart, a Brazilian Company used Internet of Things
(IoT) and artificial intelligence to collect data on kind of pest
and it’s population strength . Farmers get regular reports
which help them use pesticides efficiently and effectively
• Saillog, an Israeli smartphone application which informs
farmers about diseases and pests in surrounding farms

6. Warehousing and storage
• Worldwide 1/3rd of agricultural produce is lost due to poor
supply chain management
• India wastes around 16% of its agricultural output
• With data analytics, farmers will be better able to trace their
inputs and outputs
• This will give them an edge to market their produce better

7. Near Accurate Yield Predictions
• Poor yield results can be devastating not just for farmers but
for the overall economy on the whole
• But with analytics, predicting yield results earlier than usual
which are near accurate is not impossible
• IBM uses a platform to predict corn yield in USA 2-3 months
in advance
• Researchers at University of Illinois use satellite data to
estimate yield results