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@article{199752,
author = {revanth m and sivamohan s},
title = {An Intelligent AI-Based System for Energy-Efficient Chemical Simulations},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {15527-15534},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=199752},
abstract = {Putting together different pesticide chemicals happens often in farming to fight pests better. Yet combining them wrong might hurt nature, lower food quality, or endanger people and livestock. Farmers in areas with fewer resources usually cannot reach proper science-based tools to check if mixing certain pesticides is safe before using them. A new kind of smart tool built with artificial intelligence steps in here - its job is judging how safe blended farm chemicals really are. Instead of guessing, users pick two or three substances and adjust amounts using clear visuals on screen. Information fed into it covers poison levels, official rules about usage, and how well each chemical works against pests. Rules written into the AI go step by step, showing what happens when these chemicals join forces - their combined risks laid bare. Pictures drawn by the system map out exactly how much of each substance exists in the blend along with danger signs, making results easier to grasp fast. Feedback from users shapes how the system fine-tunes its advice, helping it work well in different kinds of farms and locations. Without leaning heavily on lab analysis or complex modeling, it delivers clear results fast while using less power, making choices easier to understand. In time, this smart tool helps farming stay sustainable by lowering dangers tied to chemicals, encouraging natural ways to handle pests, and strengthening farm ecosystems overall.},
keywords = {},
month = {April},
}
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