Making agriculture smarter

Agricultural AI - The value remains unrealized

The agriculture sector, despite making several enhancements to its processes with Algorithmic technology, has still barely scratched its surface.

Farmers, food producers, agritech companies, commercial plantations – and other companies in the agriculture sector know how difficult it is to implement AI in agriculture due to the number of challenges it brings:

Farmers and players in the agricultural sector are not able to implement a a rural broadband structure for ML models.
ML Models and AI solutions are not simple enough for farmers to be understood and incorporated seamlessly with legacy agritech applications.
To be adopted for the long run, AI needs to provide actionable results. AI will simply not be used if it is not useful to the farmers.
The data points that are used for ML models in agriculture, like weather conditions and soil quality, keep changing, which makes it difficult for them to function with accuracy. AI and ML are still a long way from being able to forecast important agricultural outcomes by just using a machine’s cognitive capabilities.

AI in agriculture, like all its other applications, is still a nascent technology – and farmers need to have a better understanding of using it to drive positive business results.

Bringing the farm closer to technology

Opporture’s in-house ML experts help agricultural and agritech companies process, label, annotate, and work with their data in a time-conserving manner. With our expertise, you can monitor and manage everything related to the planting, growing, and harvesting of crops.

You can derive real value from your ML systems, and integrate them into every aspect of agriculture We help you bridge the gap between salt-of-the-earth, humble agricultural practices and AI technologies to increase production, productivity, and profits!

Label and annotate various areas in agriculture, and aid in livestock monitoring, crop health detection, and demarcation.

What we make possible

Under our Agricultural AI services, we enable:

Crop Monitoring

Monitor crop growth, and detect soil quality, climatic conditions, and crop requirements through highly accurate image and video annotation. Spot anomalies in your farms and fix them as they arise.

Pest and Weed Detection

Annotate diseased sections of the crops through machine learning algorithms, and detect the exact locations of pests or weeds through Machine Learning models. Reduce the use of pesticides through direct, accurate pest detection.

Predictive Analysis

Make predictions on soil, weather, crops, and other geographical elements based on farm imagery and weather reports. Derive timely insights to ensure a better quality of produce.

Autonomous Tractors

Power automatic tractors through the annotation and labeling of pests, weeds, land, lanes, crops, and other elements in the agricultural environment. Allow for effective land and resource management and precise farming, through GPS-enabled tractors.

Field and Soil Analysis

Determine ideal locations for farming based on the soil properties like thermal conductivity, fertility, moisture, thermal diffusivity, and more.

Agricultural Computer Vision

Automate rote tasks like harvesting, seeding, and pruning through agricultural robots powered by accurate labeling and annotation. Leverage computer vision to focus more on improving overall yields.

Our Work with Agricultural AI

Know more about what we enabled in Agricultural AI:

Want a successful Agricultural AI application?

Talk to us!