Published Date : 13/08/2025
Artificial intelligence (AI) is rapidly transforming various industries, and agriculture is no exception. No-till farmers, in particular, are exploring the potential of AI to enhance their farming practices. But how are they using it, and what is their comfort level with AI as a management tool? We reached out to the No-Till Farmer Email Discussion Group to gather insights from farmers and experts in the field.
Chad Peterson, a no-till farmer, sees AI as a valuable tool for seed selection. He believes that AI can gather and analyze vast amounts of data, including weather forecasts, to make more informed decisions about which seeds to plant. This can lead to better yields and more efficient use of resources.
Lulian Stefan, a part-time consultant in precision agriculture, emphasizes that while AI has significant potential, it is still under development and lacks the key capabilities to be a standalone advisor for farmers. He points out that most farms do not collect enough data to make AI systems truly effective. Only a small number of large commercial operations have the resources and motivation to gather detailed data on soil properties, machinery usage, seed and crop protection products, fertilizer applications, yield data, and weather conditions. Without this farm-specific data, AI systems must rely on generalized data, which may not be relevant to individual farms.
John Beatty, a farmer from Butler, Pennsylvania, acknowledges the flourishing use of AI in farming but emphasizes the importance of human intelligence. He believes that AI can be a useful tool when used in a factual and concise manner. However, he warns that AI can be detrimental if manipulated to achieve specific goals. Beatty advocates for a combination of human intelligence and AI to create a workable and effective system in the farming community.
Lawrence Stoskopf, an 86-year-old retired anesthesiologist with a 15-acre farm in Salina, Kansas, uses the European satellite service OneSoil for detailed maps and data analysis. He also utilizes ChatGPT to gather information on various farming practices. Stoskopf finds that AI provides a wide variety of thoughts and ideas, often bringing out information he hadn't considered. While not always as reliable as traditional sources, he finds AI to be very useful most of the time.
Jon Stevens, a farmer from Rock Creek, Minnesota, has found AI to be particularly helpful in finding research papers and information to solve practical problems. He shares an example of using AI to treat a sick cow when they were unsure about the products they had on hand. AI provided a treatment plan that was later confirmed by a veterinarian, demonstrating the practical benefits of AI in real-world scenarios.
Ludovic Ngu, an agricultural engineer from Cameroon, sees great potential for AI in his work at the National Center of Studies and Experimentation in Agricultural Mechanization. While he does not yet use AI tools in his daily farm management, he is actively exploring how AI can assist in predictive modeling for crop yields, soil health monitoring, and optimizing machinery operation schedules. Ngu is particularly interested in how AI can help farmers in Cameroon, who often rely on traditional knowledge and practices. He believes that integrating AI can significantly improve decision-making and productivity.
However, Ngu has concerns about the affordability, ease of use, and relevance of AI solutions for smallholder farmers. He emphasizes the need for AI tools to be user-friendly, cost-effective, and tailored to local environmental and socio-economic conditions. Ngu is particularly interested in using AI to help farmers better predict weather patterns and soil conditions, which can optimize planting and harvesting times and reduce risks linked to climate variability.
In summary, while AI holds significant promise for no-till farmers, its effectiveness depends on the quality and quantity of data available. Farmers and experts alike are exploring how to integrate AI into their operations in a way that is practical, reliable, and accessible to all. The key to success lies in combining the strengths of AI with human intelligence and local knowledge.
Q: What is the main benefit of using AI in no-till farming?
A: The main benefit of using AI in no-till farming is the ability to gather and analyze vast amounts of data, leading to more informed decisions about seed selection, weather forecasting, and resource management. This can result in higher yields and more efficient operations.
Q: What are the challenges of using AI in agriculture?
A: The challenges of using AI in agriculture include the lack of detailed farm-specific data, the need for user-friendly and cost-effective tools, and the importance of tailoring AI solutions to local environmental and socio-economic conditions. Additionally, AI is still under development and lacks some key capabilities.
Q: How can AI help smallholder farmers?
A: AI can help smallholder farmers by providing predictive models for crop yields, soil health monitoring, and optimizing machinery operation schedules. It can also assist in better predicting weather patterns and soil conditions, which can optimize planting and harvesting times and reduce risks linked to climate variability.
Q: What is the role of human intelligence in using AI for farming?
A: Human intelligence plays a crucial role in using AI for farming by ensuring that AI tools are used in a factual and concise manner. Farmers should combine AI insights with their own knowledge and experience to make the best decisions for their operations.
Q: What is the No-Till Farmer Email Discussion Group?
A: The No-Till Farmer Email Discussion Group is a platform where farmers and experts can share insights, ask questions, and discuss the latest developments in no-till farming, including the use of artificial intelligence. It is a valuable resource for staying informed and connected in the farming community.