Digital agriculture: Artificial intelligence, machine learning and robotics can help maximize farmers’ incomes, says report.

With smallholders making up the majority of agricultural producers and limited irrigation facilities posing major challenges, it is time for policymakers and governments to embrace artificial intelligence and other deep technologies, including machine learning and robotics, to ensure efficient use and maximize resource use. to use comes back , says a CII-EY paper on digital agriculture. These technologies can also help them deal with price and weather fluctuations. The report called for immediate action to deploy artificial intelligence solutions, drones, data analytics and other digital technologies to help farmers use water, fertilizers efficiently and map soil health. The report was released at the recently concluded CII AgriTech South conference here.

“We need to create standardized data formats and encourage open source AI solutions. We should develop modules and provide local AI training to farmers and rural youth. For to promote the use of AI-based solutions and technologies, the government may consider providing targeted subsidies to produce affordable equipment and develop internet connectivity.

Focus features

The report – Telangana’s Agricultural Revolution: A Digital Approach – mapped various areas where AI and other digital technologies could be deployed. “The focus is not only on the indiscriminate nature of technology adoption but also on harnessing its potential to create a sustainable, productive and sustainable agricultural environment,” C. CII Telangana President Shekar Reddy said. “Machine learning algorithms can analyze large amounts of soil data, including composition, fertility and moisture levels, and recommend field-specific optimal crops for This data approach minimizes risk and maximizes potential benefits,” EY’s Ritvik Kashyap and Vanshika Arora said in the report. The report found that data derived from historical data and real-time weather patterns could help predict future climate trends and potential risks.

Take advantage of capabilities.

“Farmers can use this data to make informed decisions about planting schedules, crop varieties and resource allocation, reducing losses due to weather. “AI can analyze market trends and forecasts. crops, allowing farmers to optimize planting decisions for better income. This foresight allows them to adapt to market fluctuations and take advantage of profitable opportunities. The report calls on stakeholders to launch pilot projects to demonstrate the value of AI in agriculture and encourage its further adoption. wide adoption. It also sought to facilitate capacity development programs to equip farmers with the knowledge and skills they need to effectively use and utilize these technologies.

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