Crop Stress Detection Using Ai Image Processing

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Mrs. Chandana H M; Sharanabasappa; Y Tejas; Shreyas S; Venugopal Gowda

Crop Stress Detection Using Ai Image Processing

Authors: Mrs. Chandana H M, Sharanabasappa, Y Tejas, Shreyas S, Venugopal Gowda

Unique Paper ID: 180468
Volume: 12
Issue: 1
PageNo: 1820-1824

Keywords: No Keywords Found

Abstract:
Alright, let’s ditch the lab coat and talk like real people for a second. Crops deal with all sorts of drama—droughts, pesky bugs, random diseases, and, of course, everyone’s favorite: not enough nutrients. When this stuff hits, it kinda wrecks the whole food supply chain. Old-school ways of spotting stressed-out plants? Honestly, they’re a slog. Tons of manual labor, slow as heck, and you’re just begging for someone to mess upSo, here’s the cool part: this research is all about bringing in the big guns—AI and some slick image processing. Instead of squinting at leaves with a magnifying glass, we’re talking about training machines (think: those deep learning models, CNNs and all that jazz) to check out aerial and ground pics for signs of trouble. It’s like giving your fields a health checkup from the sky.And yeah, there’s a bunch of techy stuff under the hood—prepping the images, slicing them up, pulling out the good bits, and analyzing all sorts of crop features most people wouldn’t even notice. The models get fed tons of labeled pics (because, you know, you gotta teach them what “sick plant” actually looks like). Turns out, they get pretty darn good at telling stressed plants apart from the healthy ones.Bottom line? This isn’t just a gadget for show-offs. The whole setup means farmers can spot problems way earlier, fix things faster, and not waste a ton of cash or time. Real-time monitoring, less guesswork, and way more food on the table. Hard to argue with that.

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ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 1820-1824

Crop Stress Detection Using Ai Image Processing

Available:https://ijirt.org/article?manuscript=180468

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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