With a couple of prompts, you can get generative AI tools to answer you with texts and images. And this may seem like it’d be beneficial for people who write content or make thumbnails. Basically, you’d think AI, such as generative AI, is for folks with laptops in air-conditioned offices. You’d be, kind of, wrong. Generative AI can be for anyone. And why not apply generative AI to one of the most important sectors in India and the world: agriculture? Everyone needs advisors. Someone to whisper in your ear to let you know where to go and what to do.
It just might be equipped with state-of-the-art camera systems that could recognize if a fruit or vegetable is perfectly ripe and ready to be plucked from the plant. Before this sounds like droning on, find out what drones could do for agriculture. In your mind’s eye, picture one majestically soaring over vast fields, capturing breathtaking images of the crops below.
Those images are, then, transformed into a comprehensive and detailed report that explores the health of plants, detecting any signs of disease or the need for herbicide treatment. This chatbot would provide vital information about government welfare activities, answering and understanding queries in multiple languages, ensuring that no one is left behind in the digital age. Could these AI tools empower communities with knowledge and bridge the information gap? Maybe. So, is AI in agriculture all set? Not quite.
Agriculture may be on the brink of a technological revolution, where generative AI holds the key to unlocking its full potential. Or maybe, the revolution is already underway. But, unfortunately, there may be a few challenges in the way. If the datasets are not large enough, the AI can’t work. It takes a massive amount of data needed to train a generative AI model. It’s like searching for a needle in a haystack, an analogy fitting for agriculture, especially when the data isn’t readily available. And there’s another hair in the soup: privacy and security.
While the tech can be ground-breaking (another agriculture pun), AI can raise concerns about data leaks and cyberattacks, with agricultural data being inputted. Nonetheless, with the right guardrails, the future of AI in agriculture could be bright and this could be sowing the seeds towards a new era of innovation, productivity and agricultural success. Because you can’t crop out the future.
