Climate & AI

Go a little deeper with AI

Once you give AI the graph image and question prompt, changes in temperature, humidity, and light can be considered alongside the plant’s day.  The graph shows only part of the environment around a plant.  Adding the plant name, where it is growing, and anything you have noticed can make the conversation much more specific.

Tell AI what you noticed

You do not need to prepare every detail in advance.  Start with a short question.  After you paste the graph image and prompt into AI, add information as needed: the plant name, symptoms, when they appeared, where the plant is kept, sun exposure, shade, airflow, whether it is in a pot or in the ground, soil or potting mix, watering, fertilizer, and when the plant was purchased.  If you do not know something, do not guess.  AI can ask follow-up questions and you can work through the situation one step at a time.

The observation point and your plant are not the same place

These graphs come from one observation point in Fushimi, Kyoto.  Even within Kyoto, conditions change with buildings, pavement, direction, elevation, wind, and shade.  A balcony, garden, indoor room, or sheltered spot can feel very different.  Rather than treating these measurements as the exact conditions around your plant, tell AI what seems similar and what seems different.  Those differences can be useful clues.

Some important conditions are not shown in the graphs

The graphs show air temperature, relative humidity, air VPD, and light at the observation point.  They do not directly show leaf temperature, temperature or moisture inside the pot, root condition, wind, pests or disease, soil characteristics, fertilizer concentration, cultivar differences, conditions during transport and retail, or how well a recently purchased plant has acclimated.  A change in the graph and a plant symptom happening at the same time does not prove that one caused the other.

Check AI’s answer together

Use AI’s answer as a clue for further observation rather than as a final conclusion.  Ask whether the proposed explanation fits what you actually see, what other possibilities remain, and what you could observe next to distinguish between them.  For pesticides, human or animal safety, or expensive treatments, confirm important decisions with product labels, specialist guidance, or primary sources as well.

Small changes in the question can deepen the conversation

Instead of asking only “What is the cause?”, try asking: “Please separate what can be read from this graph, what cannot be determined from it, possible explanations, and what additional information would help.” When thinking about future conditions, do not treat past measurements as a forecast.  A better question is: “If similar conditions occur again, what effects might be possible?”

What do the four AI conversation styles mean?

The measured data sent to AI is the same whichever style you choose.  What changes is the way the conversation is guided.

Explain it simply first

Starts with the most important features of the graph in plain language.  Technical terms are explained briefly when needed.  If important information is missing, AI asks for one particularly useful detail.  This is a good choice if environmental data is new to you or you mainly want the key points first.

Think through it together

Works more like a gardening conversation.  AI begins with what can be seen in the graph and several possible explanations, then asks about the plant, its location, sun exposure, watering, soil, airflow, purchase timing, and other relevant details.  The next question changes according to your answer, so the goal is to understand the situation step by step rather than rush to one cause.

Examine the data in detail

Starts by checking data availability and missing-data status, then examines temperature, humidity, air VPD, PPFD, and DLI in more detail.  It also distinguishes sudden changes, missing values, possible sensor issues, measured facts, scientific explanation, conditional inference, and things that are still unknown.  This is useful when you want to inspect the evidence and limitations carefully.

Continue naturally with your AI

Does not impose a special response length or order.  You continue with the AI you normally use.  If that AI remembers earlier conversations, it may be able to use information you have already shared about your plants and growing conditions.  This is useful when you want to bring the measured data into an ongoing conversation.