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GreenGuard is a cutting-edge picture classification initiative that aims to transform agriculture by giving farmers an automated way to identify plant illnesses early on. In order to reduce crop losses and enhance farming methods, GreenGuard uses a convolutional neural network to detect and categorize sick plants.

active 2024-03-25 → 2024-09-22 (UTC)

Complete coverage28,296 / 28,296 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-05 (UTC)
Events
18
Pushes
15
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 182 days from 2024-03-25 to 2024-09-22. Pushes: 15 total, peak 11 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
yuvraaj2002151500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.