10 WAYS AGRICULTURE IS TRANSFORMED BY DATA ANALYTICS

10 WAYS AGRICULTURE IS TRANSFORMED BY DATA ANALYTICS

Precision agriculture

Precision agriculture

In order to ensure that crops and soil receive the exact nutrients they require for optimum health and productivity, precision agriculture uses information technology (IT).

Crop monitoring

Crop monitoring

 Farmers can get information on crop health, soil moisture, and weather patterns by employing drones, satellites, and ground-based sensors.

Predictive analytics

Predictive analytics 

Predictive analytics can be used to anticipate crop yields, predict weather patterns, and identify possible threats like pests and diseases by examining historical data and present trends.

Supply Chain Optimisation:

Supply Chain Optimisation:

Supply Chain Optimisation: Farmers may find inefficiencies, cut waste, and boost overall productivity by monitoring and analysing data from the whole supply chain.

Pest and Disease Management:

Pest and Disease Management:

Pest and Disease Management: By examining data on the presence of pests and diseases, farmers can determine the parts of their property that are most at risk and take preventative action to stop outbreaks.

Livestock Management

Livestock Management

animals management: Data analytics can be used to watch animal behaviour, keep tabs on the health of animals, and analyse feed and dietary information.

Farm Management Platforms:

Farm Management Platforms:

 By combining information from several sources, farm management systems can give farmers a complete picture of their business, empowering them to make informed decisions and improve performance.

Unlock the power of data with our Data Analytics Training Program.

Unlock the power of data with our Data Analytics Training Program.