Core Capabilities
Crop Health Monitoring
NDVI analysis and multispectral imagery annotation to detect plant stress and disease.
Weed vs. Crop Detection
Distinguishing unwanted vegetation from crops for precision herbicide application.
Fruit Counting & Yield Estimation
Accurate counting of fruits and vegetables on trees for harvest planning.
Livestock Monitoring
Tracking animal behavior, health, and location using drone and camera trap footage.
Forest Inventory
Tree species identification and biomass estimation from aerial and satellite imagery.
Deforestation Alerting
Change detection analysis to identify illegal logging and land use changes.
Precision Spraying AI for Global AgTech Leader
A leading agricultural robotics company required millions of highly accurate bounding boxes differentiating between crops and various weed species to train their precision spraying robots. Coral Mountain Data delivered a continuously updating pipeline of specialized annotation, directly reducing herbicide use for farmers.
Data Annotation Use Cases in Agriculture & Forestry
Annotation & labeling of data can serve a variety of purposes within Agriculture & Forestry, from enabling critical computer vision to gaining a better sense of the surroundings for AI initiatives.
The following use cases provide more insight into how our data annotation & labeling expertise can benefit your Agriculture & Forestry operations:
Precision Farming with Robotics
With precision farming, diseased plants are detected early, pests are controlled, and poor nutrient levels are identified on farms using artificial intelligence.
Monitoring Fructify/Ripeness Levels
Image annotation can help develop AI for analyzing fruit and vegetables' health conditions and fructification/ripeness levels through intelligent grading and sorting.
Detect Unwanted Plants
By using agricultural robotics to detect unwanted plants and weeds, custom agricultural training data can improve agricultural yields.
Fund Management
The financial services team extracts, tracks, and verifies relevant details of funds, and incorporates more sources into investment models by analyzing large swathes of unstructured data, i.e., bank accounts, debit & credit card data, etc.
3D Field Mapping
Data from drones and satellites can be used to provide agronomists with accurate estimates of crop yields and prices, using 3D field maps.
Livestock Management
Using training data to build machine learning models to track livestock movements accurately, improve livestock management, and promote livestock welfare.
Feeding & Harvesting Crops
Implement artificial intelligence learnings based on our training data to automate and predict harvesting based on irrigation patterns and nutrient application schedules.
Intelligent Spraying
Take advantage of our training data expertise in computer vision to develop machines and models for spotting and preventing disorders through intelligent spraying.
Crop Yield Prediction
AI and machine learning can use our training data to empower drones and real-time sensors to predict and improve crop yield prediction.
More Success Stories
Explore how we solve complex data challenges.
Custom Collection of Scripted Utterance Speech Dataset
A leading company working in speech recognition and natural language processing technology approached us with the requirement of collecting a…
Custom Collection of Scripted Utterance Speech Dataset
A leading company working in speech recognition and natural language processing technology approached us with the requirement of collecting a…
Custom Collection of Scripted Utterance Speech Dataset
A leading company working in speech recognition and natural language processing technology approached us with the requirement of collecting a…