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GitHub topics: crop-monitoring

SmartFarmingLab/field_dataset_survey

A curated collection of 45 high-quality RGB image datasets for computer vision in agriculture. Features datasets for weed detection, disease identification, and crop monitoring, focusing on natural field scenes. Part of our GIL 2025 survey paper.

Language: TeX - Size: 109 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 0

emansarahafi/MoniCropHardware

A crop monitoring system made using a Raspberry Pi 4B, a 7-in-1 NPK sensor, an ultrasonic sensor, and an ESP32 Wi-Fi module.

Language: Python - Size: 10.7 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 2

pesala-x/Green-shadow-Crop-monitoring-system

Green Shadow Crop Management System, a robust backend API crafted to streamline farm operations for Green Shadow (Pvt) Ltd.. This system supports efficient management of fields, crops, staff, and resources, enabling scalability for farms expanding nationally and globally

Language: Java - Size: 61.5 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

yoonhachoe/CropDamageDetection

Sugar Beet Leaf Damage Regression Model for Smart Plant Monitoring

Language: Python - Size: 6.69 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1

emansarahafi/MoniCropiOSFirebase

A new release of the previous MoniCrop iOS application, but now connected to Firebase.

Language: Swift - Size: 189 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

emansarahafi/MoniCropWebsite

A website to monitor crop through collected data on Firebase.

Language: HTML - Size: 43.9 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

emansarahafi/MoniCropiOS

An iOS application to monitor crops through collected data.

Language: Swift - Size: 2.96 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Agri-Hub/Space2Ground

A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.

Language: Jupyter Notebook - Size: 5.33 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 3

imshaaz21/Crop-Monitoring-Smart-Agriculture

CS3282 - Industrial Computer Engineering Project

Language: Jupyter Notebook - Size: 624 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

MarkusRAdam/RCM_Plot

Python tool for displaying time series of Radar backscatter and NDVI values in a web app.

Language: Python - Size: 414 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 3