agriGPT: let’s farm

agriGPT is an AI chatbot designed to assist farmers & persons with agriculture-related questions. agriGPT is in active development. 05/23 V0.4 beta. New features: enhanced memory, improved process, higher accuracy.

Give agriGPT your email to receive report & transcript ⚠️ agriGPT 0.4 is currently very slow (but smart!)
Try: “How much fertilizer for 50 hectares of alfalfa in Provence France?”

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Users of agriGPT can discuss various agricultural topics, including crop and livestock management, pest control, disease prevention, and farm equipment.

Seek advice on experimental design, fertilization, and implementing technology in agriculture or nutrient management. Some users will like to discuss chatbots in the farming business, or cost estimations for fertilizing specific crops. Some users discuss the cultivation of specific crops, like sugarcane and potatoes, and others focus on topics related to agribusiness, such as investment opportunities and market trends.

Inquire about specific crop varieties and optimal cultivation practices for their region. Explore urban farming and growing plants in limited spaces like balconies.

Please note that this experimental agricultural artificial intelligence may have some flaws and weaknesses, which are being actively addressed.

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Sign up for a free Basic agriGPT account. With an account you will have unlimited access & advantages.
With creating an account you will also access new features. We’re building: your own profile and your own data (critical for agriGPT), full history of conversations, agriGPT connection to relevant agricultural databases, more accurate GPT model. You will be contacted via email for onboarding.

agriGPT v0.4, a specialized adaptation of a large language model, is specifically designed to address agricultural topics and emulate the thinking of an agronomist. Agtecher’s agriGPT AI chatbot employs a distinct approach to solving and discussing agricultural issues. The concept originated from a blog post we published in December 2022 about ChatGPT and its applications in agriculture, which subsequently led to the development of agriGPT. Read the blog post about GPT and agriculture.

Please be aware that this beta version is currently powered on top of OpenAI, using both the GPT4 and GPT-3.5 Turbo model. Also note that any data you provide may be utilized for the enhancement of both OpenAI’s GPT models and Agtecher’s agriGPT model. Agtecher’s AgriGPT will only use your data in an anonymized form. For further information: Please review our privacy policy & terms of use.

TopicFrequent question typesagriGPT Response Summary
Crop Diseases“How can I identify and treat a disease affecting my crops?”agriGPT provided examples of common crop diseases and their symptoms, as well as recommended treatments. It also mentioned the importance of consulting a local agricultural extension service for more specific information.
Soil Testing“What are the benefits of soil testing and how can I do it?”agriGPT explained the importance of soil testing and its benefits in improving crop yields. It also provided instructions for conducting a soil test and interpreting the results.
Fertilizers“What types of fertilizers are best for my crops and when should I apply them?”agriGPT listed several common types of fertilizers and their nutrient contents, as well as recommended application rates and timing. It also emphasized the importance of soil testing in determining fertilizer needs.
Pest Control“What are some effective ways to control pests on my farm?”agriGPT provided examples of integrated pest management strategies, including cultural, mechanical, biological, and chemical control methods. It also emphasized the importance of monitoring and identifying pests accurately.
Mapping and GIS“How can I create thematic maps based on related tables in QGIS?”agriGPT explained the process of creating custom formulas for thematic maps in QGIS, as well as provided examples of operators and functions that can be used. It also mentioned the use of join and aggregate functions when working with related tables.

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agriGPT employs a unique approach to analysis; however, the current version 0.4 is not yet trained with any specific datasets. In future releases, agriGPT will be pre-trained and integrated with specialized datasets, including USDA datasets, EU agricultural datasets, climate and soil data, subsidy programs, regulatory texts, and scientific research. Additionally, agriGPT will be combined with dedicated agtech product and service databases to better cater to the needs of farmers, consultants, agronomists, and other stakeholders in the agricultural industry.

Chat Topic Example: Alfalfa fertilizer

Chat Topic Example: Apple orchard

If you like what I am doing send me your feedback. Let me know what you would change, improve, do differently.

agriGPT is a farming & agtech consultant

Being a farmer often entails being a multi-talented generalist, which makes this group particularly in need of language model-powered tools. Agriculture and farming present a wide range of challenges that could benefit from technological assistance. However, the adoption rate for agtech solutions is often slow and low, leading to frustration among agtech enthusiasts.

In light of this, agriGPT serves not only as a language model-powered tool, but also as a consultant for agritech and agtech industries. By offering consulting services, agriGPT aims to bridge the gap between technological innovations and their practical implementation in the agricultural sector. This facilitates a smoother adoption process and helps farmers to better understand the benefits of using agtech solutions, thus increasing their willingness to embrace new technologies. Consulting is crucial as it helps identify the unique needs and requirements of each farm or agricultural business, ensuring that agtech solutions are tailored to meet those specific demands.

Furthermore, by providing professional guidance and support, agriGPT helps farmers optimize the integration of agtech into their daily operations, leading to increased efficiency and productivity. As an agtech consultant, agriGPT’s role extends beyond focusing on sustainability to also encompass the responsible and effective use of technology in agriculture. This includes promoting innovations that can enhance resource management, reduce environmental impact, and improve overall farm performance. By actively advocating for the integration of technology in agriculture, agriGPT contributes to the evolution of the industry, paving the way for a more sustainable and prosperous future for farmers worldwide.

Towards agriAGI

agriGPT is a modest yet significant step towards the concept of a general agricultural AI: agriAGI.
An agricultural artificial general intelligence is to combine artificial intelligence (AI) with the specific needs and challenges of the agricultural industry. It’s like an AI Jack-of-all-trades for farming, capable of understanding and mastering a wide range of tasks and adapting to new situations with ease. For both large-scale and smallholder farmers, making it a versatile and valuable tool for all types of farming operations.

About agriGPT and agtecher: Max, farming entrepreneur with love for nature, tech, AI, robotics. Blogging about agricultural technology.
LDB 16190 Poullignac France

info (at)