Precision Agriculture: Sensors and IoT Devices: Such technologies monitor the water levels in the soil, its nutritional content, and the health of the crops. This provides the aptitude for precision watering, fertilization, and pest control.

Predictive Analytics: A process of analyzing history and real-time data to anticipate weather patterns, outbreaks of pests, and yield forecasts. Based on analyzed data, these systems advise on crop rotation, pest management, and the best times for planting.
Online Marketplaces: Online platforms like AgriBazaar and BigHaat directly connect farmers with prospective buyers, thereby cutting out most of the intermediaries and related costs and expenses, besides assuring better prices.

Mobile Apps: Applications inform farmers about the prevailing market prices so that they may decide on any given time and place to sell their products.
Financial Services:

Digital Payments: Mobile payment systems facilitate secure, faster transactions.
Access to Credit: Digital platforms provide access to microloans and insurance products that help farmers invest in better inputs and technologies.

Challenges 

• Digital Literacy: The majority of farmers, especially in developing countries, lack the capacity to effectively operate digital tools and platforms.
• Infrastructure: Poor internet connectivity and inaccessible electricity work against the adoption of e-technology.
• Data Privacy and Security: The worry for privacy and security of data to be collected by digital tools is a major detractor.
• Regulatory and Policy Issues: Lack of policy and regulatory support may slow down the development of digital agriculture.
• Access to Viable Information: Farmers would like to have the right information on time. Inadequate information or misinformation may lead to inappropriate decisions.