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Google & nurture.farm Announced Research Collaboration to Develop Solutions for Measuring Soil Quality on Large Scale

This method of soil testing, once established in a scalable manner, will help extend soil testing services at affordable costs to farmers across India and guide them towards ways to improve soil health, select suitable crops, input products and operating practices, resulting in higher yields and income.

Shivam Dwivedi
Use of AI in Agriculture
Use of AI in Agriculture

Google and nurture.farm have announced a research collaboration to identify scalable and cost-effective solutions for soil quality measurement across farmland in India. The relationship aims to enable farmers with informed decisions that improve their yield and profitability in their practices across the seasons.

Combining Google’s cutting-edge AI, imaging technologies, and Cloud infrastructure, and nurture.farm's direct on-ground reach and engagement with millions of farmers in India, the two companies have outlined multiple areas of research collaboration that will enable and accelerate the adoption of sustainable agricultural practices across the country.

Soil health is well understood to be a primary indicator of crop yield and productivity. Today, soil quality testing is primarily done using chemical-based analysis, where soil samples are collected and analyzed in a laboratory. Due to limited testing facilities, lower awareness among farmers, and the logistical and operational overhead introduced by collecting and transporting samples to testing facilities, this lab-based soil-testing approach has been challenging to scale across India.

nurture.farm and Google have entered into a research collaboration to establish a scalable and low-cost method to measure soil health, covering soil organic carbon and other key nutrients in the soil. The relationship will focus on the use of hyperspectral image analysis combined with other remote sensing and data collection methods, to accurately measure SOC and other nutrients in soil across a range of soil types and characteristics that comprise the landscape of agricultural practices in India.

This method of soil testing, once established in a scalable manner, will help extend soil testing services at affordable costs to farmers across India and guide them towards ways to improve soil health, select suitable crops, input products and operating practices, resulting in higher yields and income.

Speaking about the collaboration, Pranav Tiwari, CTO, nurture.farm said, "At nurture.farm, our objective is to bring advanced and innovative technology-led solutions to ease the decision-making process and improve outcomes for farmers, with a focus on smallholder farmers of India. With this collaboration with Google, we are working together to develop a scalable, real-time and cost-effective method to measure soil quality.”

Speaking about this research association, Dr. Manish Gupta, Director, Google Research, said, “We look forward to our collaboration with nurture.farm, utilizing Google’s suite of AI and imaging technologies, Cloud, and advanced geospatial analysis and machine learning expertise to help unearth long-term solutions for sustainable agriculture. Using the remote measurement of soil health can help deliver orders of magnitude gains in cost-effectiveness and scalability that will directly benefit farmers across the country, enabling them to improve their productivity and meet the challenges of the future.”

Agricultural development is one of the most effective tools to help end extreme poverty, enable shared prosperity, and feed a projected 9.7 billion people by 2050. This research project has the potential to empower farmers with quick, affordable, and scalable soil health measurement, helping them make informed decisions that result in higher yields, and better farm and environmental outcomes. The project builds on a broader collaboration underway between Google and nurture.farm, and aims to deliver widespread outcomes for sustainable agricultural practices across the country.

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