Most countries have some type of system to forecast crops related information to the farmers. But most of time information are generic to the geographical region rather atmospheric regions. Hence many farmers loss their crops and investments due to unpredictable weather, soil, water and seeds compatibility and feasibility etc and inaccurate information due to no time-bound delivery of information.
In result, in the world, thousands and thousands of farmers are going for suicide every year. This is much bigger figure than majority of wards of the world.
Is artificial intelligence based adaptive mathematical model possible to quickly forecast best crops for the farmers every month and in case any drastic chance in weather soil or seeds, farmers should be able to go choose plan B to reduce the effects of surprises.
Theoretically it is possible, but it will require lots of investments (mobey, time, labour)). You'll need good physiological data, lots of observations and etc to parameterize those models. Plus, farmers might not have time to adjust, even if they get the required information.
providing the information might be possible, even as quick response. But, first, the information would have to be a long-term prediction, that covers a complete growing-period (ranging from about 2 to 8 month) and on top of that, I highly doubt, farmers might have the chance to switch crops as they want. Most seeds are either preserved from own harvests or ordered on a middle-term-plan.
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