Definition: Digital agriculture refers to the integration of digital technologies and data-driven solutions in farming practices. It includes the use of IoT (Internet of Things), drones, big data, and artificial intelligence (AI) to enhance agricultural productivity and efficiency.

Benefits:

1. Enhanced Productivity: Digital tools like precision farming use real-time data to optimize crop management, resulting in increased yields. For instance, the use of drones for aerial imagery helps in accurate crop monitoring and pest detection.
2. Resource Efficiency: Technologies such as smart irrigation systems reduce water usage by delivering precise amounts of water to crops, thereby conserving resources.
3. Data-Driven Decisions: Big data analytics enable farmers to make informed decisions based on weather patterns, soil conditions, and market trends, improving overall farm management.
4. Cost Reduction: Digital solutions help in reducing input costs by optimizing the use of fertilizers and pesticides, as seen in initiatives like e-Choupal which provide farmers with market prices and expert advice.

In summary, digital agriculture leverages technology to boost productivity, conserve resources, and enable informed decision-making, leading to more sustainable and efficient farming practices.