Agriculture is putting pressure on the ecosystems and practices need to evolve towards a more sustainable way of producing food. Industrial agriculture has imposed a unique production model on the ecosystems while it is now understood that it is more sustainable to adapt the production model to the ecosystem. This involves adapting existing solutions to the local agricultural context and developing new solutions that are best suited to the local ecosystem. Farmers are doing this by conducting on-farm experimentation with their own objectives and with experimental designs at the scale of production. A survey conducted in Australia found that 90% of farmers are engaged in on-farm experimentation. Scientists have not been involved in this farmer-centric process, and this is changing with the advent of digital agronomy. Indeed, the digital agronomy toolbox offers possibilities to enhance the farmer-centric on-farm experimentation process by three main components: (1) collecting contextualization data on top of experimental data, (2) pooling data from multiple farms conducting similar experimentation, and (3) analyzing that data with machine learning. Using the digital agronomy toolbox requires expert skills that scientists have, which opens the door for a co-creation process that will accelerate the pace towards sustainable production. This project consists in conducting interviews and a survey among NY state farmers in order to better understand the needs and identify more precisely how digital agronomy can help farmers in their experimentation process. The interviews conducted over 20 field crops farmers will serve to generate informed questions to be asked in a survey that will be conducted among 75 to 100 farmers. The objectives of the project are (1) to evaluate the current state of field crops on-farm experimentation in the state of NY, and (2) to assess the potential of digital agronomy to enhance on-farm experimentation. The interviews and surveys will provide a better understanding of what farmers are experimenting (e.g., fertility, pest control, conservation practices…), and why they are doing so (i.e., what are the motivations). Interviews and surveys will also enable to evaluate the scale of this experimentation at the farm scale (e.g., number of ha and frequency) as well as at the regional scale (e.g., percentage of farms engaged in on-farm experimentation). Finally, specific questions will be asked to identify how farmers perceive the role of digital agronomy in their experimentation process. It is expected that over time, both farmers and scientists will benefit from this co-creation process: farmers will extract more from their experimentation efforts and scientists will discover new research questions to understand what they observe in the field and will benefit from a short circuit between experimentation and adoption. Interviews and surveys will be conducted over Winter-Spring 2022 and results will  be presented at ICPA 2022.