What is ai-crop-disease-detection-agent?

62/100
Trust Score (C)
⚠️ Use Caution

ai-crop-disease-detection-agent is a agriculture that AI crop disease detection agent for web application.. It has a Nerq Trust Score of 62/100 (C). 9 GitHub stars. Published by Unknown. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

62
TRUST SCORE
C
GRADE
9
STARS
0
DOWNLOADS

What ai-crop-disease-detection-agent Does

ai-crop-disease-detection-agent is a agent in the agriculture category. AI crop disease detection agent for web application.. It is published by an independent developer and has no specified license. With 9 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use ai-crop-disease-detection-agent

ai-crop-disease-detection-agent is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categoryagriculture
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=aayush-1709-ai-crop-disease-detection-agent

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Chinese-QA-Agriculture_Forestry_Animal_Husbandry_Fishery5614
crop_leaf_diseases_vit5410
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Farm-IQ-AI-Powered-Smart-Farming-Assistant605

Frequently Asked Questions

What is ai-crop-disease-detection-agent used for?
ai-crop-disease-detection-agent is a agriculture tool. AI crop disease detection agent for web application..
Is ai-crop-disease-detection-agent free?
License: Check project page. ai-crop-disease-detection-agent has 9 GitHub stars.
Is ai-crop-disease-detection-agent safe?
ai-crop-disease-detection-agent has a Nerq Trust Score of 62/100 (C). Use with caution.
What are alternatives to ai-crop-disease-detection-agent?
Top alternatives: Chinese-QA-Agriculture_Forestry_Animal_Husbandry_Fishery, crop_leaf_diseases_vit, Leaf-AgriApp. See full comparison.

Last updated May 2026. Trust scores based on automated analysis of public data.

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