Global Climate Change & Agriculture: How AiQ Can Help To Navigate The Future
Global climate change is everywhere on the news.
Images of starving polar bears slipping on flimsy ice floes, scary headlines about a potential collapse of the Gulf Stream, and stories of record temperatures being seen around the world.
But how does climate change affect those who produce our food?
The big headlines are very much warranted, but the agricultural world needs real-time information on how this is affecting what they do and how they can change to meet these challenges in order to continue to feed the world.
How Are Changing Weather Patterns Impacting Agriculture?
Climate change is causing challenges to agriculture with rising temperatures, changing rainfall patterns, and extreme weather throwing out the usual expected pattern of the growing year:
Dryer seasons and water scarcity
Increased temperatures altering evapotranspiration rates
Unexpected intense rainfall
Changing conditions allowing pests and diseases to flourish
All of these changes have led to key crops such as maize being adversely affected and global yields being forecasted to decline considerably by 2050. However, wheat could see a yield growth of around 17%.
Let’s take a deeper look at corn yields in the USA for an example of how recent climate change has affected it…
This table demonstrates how unpredictable weather patterns have affected corn yields across the USA in the last ten years.
Despite unpredictable weather, corn has seen a general rise in yields over the last decade, mainly due to advancements in farming procedures and how farmers manage their crops.
This shows that it is vital for those in agriculture to be armed with accurate weather forecasting when managing their crops.
Farm Data & LLMs
Weather records began sporadically in the late 1700s and officially began in 1870 when an act was passed through Congress by President Ulysses S. Grant.
Since then, copious amounts of weather data have been produced, and the art of weather forecasting was born.
Farmers obviously pay close attention to weather forecasts to make decisions on crop management to maximize efficiency and yields.
With the rise of AI in recent years, Large Language Models (LLMs) are revolutionizing almost every industry, including how weather data can be used to improve farming.
This change has come about through AI’s ability to consume and study data to provide accurate outcomes rather than relying on human judgment, which, as we know, can be flawed.
By using LLMs and prompt engineering, farmers anywhere around the globe can have access to more accurate weather insights tailored to their very location.
Then ask follow up questions such as other forecasts, impact on crop production, temperature outlook, etc.
ArchaiQ
ArchaiQ (AiQ) is an AI company that takes weather, crop, and satellite data and uses statistical analysis and machine learning to produce accurate, consistent predictions on global or local scales.
The website offers several features for farmers to utilize in their daily decision-making. The founders are farmers and industry professionals who set out to build a tool that would make their lives easier.
AiQ production updates, fundamental commentary, US agency report updates, world weather risks, and the latest forecast maps are just a few of the topics covered.
These include the Dashboard, which covers the latest weather risk and production changes from AiQ’s models. The Viz Generator Tool allows users to produce clear and easy-to-digest maps, graphs, and charts that can be consulted or shared.
There’s also ANDY, the AiQ LLM designed to answer weather and crop production related questions. He is learning every day.
ANDY has been purpose-built for the agricultural industry and only uses specific data to expand its learning. This means that users will only ever receive reliable, accurate, and up-to-date information, unlike generic LLMs that take in huge amounts of uncontrolled data from anywhere on the internet.
Another huge bonus of using AiQs’ ANDY is the fact that there are no adverts or algorithms — it provides reliable information with no hidden agendas.
Visit our YouTube playlist to find a selection of tutorials on how to get the best out of the AiQ tools.
The gold prompts are suggestions, teaching the user how to interact with ANDY
AiQ In Action
AiQ captures the impact of weather on crop production and can offer farmers actionable insights on weather changes specific to their individual needs.
Here are a few examples of AiQ in action…
It is easy to see when weather companies claim to be “modeling” yields, yet show yields moving higher when forecasts rapidly deteriorate.
Other crop forecasters cut 4 months too long. AiQ caught the weather turn first.
AiQ issued an alert when Sao Paulo’s drought broke in early April, 2024.
AiQ’s models and data are transparent. Every season and weather event is an opportunity to improve the models through continuous machine learning.
AiQ Working For You
If you work in agriculture, you will understand how important the question of climate change is to your industry.
AiQ stands apart from traditional forecasting and LLMs, offering you real benefits:
Tailored for agricultural use, it uses specific data sets and statistics for targeted and accurate results, unlike generic LLMs.
Machine learning analysis of data provides more accurate results than human-derived weather predictions.
AiQ ingests over 30,000 weather locations daily and provides fast, real-time updates.
It analyzes weather patterns to help predict how climate shifts and seasonal patterns affect production.
You can choose to receive sector-specific weather insights and adapt your business decisions accordingly to reduce risk.
AiQ provides clear and easy-to-digest information based on the questions you need answers to, allowing you to make decisions fast.
No ads, no algorithms – just results.
For a world in which every farming decision needs to be supported by precise information, ArchaiQ is committed to increasing client efficiency, sustainability and profitability.
Reach out to learn more about AiQ and sign up for the free weekly newsletter!
References & Further Reading:
https://www.usda.gov/oce/commodity/wasde/wasde0125.pdf
https://unfoundation.org/blog/post/climate-change-and-the-future-of-food/