Life Sciences

Artificial intelligence holds the promise of driving an agricultural revolution at a time when the world must produce more food using fewer resources.

ClientoClarify.AI enables organizations to leverage the transformational power of AI by delivering the world’s only trusted Agriculture AI platform combined with an AI-native strategic success team to help customers rapidly turn data into value.


AI In Agriculture!

AI can potentially change the way we see agriculture, enabling farmers to achieve more results with less effort while bringing many other benefits. Develops integrated hardware and software for plant disease and stress detection. Provides a Cleintoclarify system of in-crop wireless networks coupled with remote sensors, real-time pest monitoring and variable rate biological pest control.Live predication based on the Data driven farming or decision agriculture is the thoughtful use of right farm data, at the right time, to make better decisions that improve long-term profitability. By novel, hi-tech data gathering techniques: satellite, drones, cameras, sensors or GPS tracking, provide the tools for unlocking the next wave of productivity gains.


Life Sciences Services

Harness the power of Agriculture data and artificial intelligence to accelerate change for your agriculture farming.Create intelligent workflows that utilize AI, data and analytics, and turn AI aspirations into tangible business outcomes.Enabling precision crop management focussing on integrated pest management including real-time insect pressure tracking and improved biopesticide delivery. Provides a proprietary system of in-crop wireless networks coupled with remote sensors, real-time pest monitoring and variable rate biological pest control.

Climate Monitoring

The Forecasted Weather and predicted of Climate with real time data help farmers increase yields and profits without risking the crop.

Crop and Soil Health

Utilizing AI is an efficient way to conduct or monitor identifies possible defects and nutrient deficiencies in the soil With the image recognition approach.

Disease Diagnosis

The science of plant disease diagnosis has evolved from visual inspection and identification of plant diseases to detect with high-throughput.

Predictive Analytics

AI sensors can detect and target weeds while deciding which herbicides to apply within the right buffer preventing over application of herbicides and herbicide resistance.

Vision Analytics

We provide solutions with the latest advances in Drone Vision Intelligence Analytics will help the farming for our interested partners and clients.

Agricultural Robots

AI companies are developing robots that can easily perform multiple tasks in farming fields. we control weeds and harvest crops at a faster pace with higher volumes.

Data Labeling

A Platform to generate accurate and high-quality labels using AI and ML models based on data collection.

Detect Pests

AI can transform Detect Pests in the farming field because one of the worst enemies of the farmers which damages crops.

Weed protection

Weed protection is important to factor as weed decreases yields, increases production cost, interfere with harvest, and lower crop quality.


Life Sciences Applications

The industry is turning to Artificial Intelligence technologies to help yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain.


Wheat Detection

Its popularity as a food and crop makes wheat widely studied. To get large and accurate data about wheat fields worldwide, plant scientists use image detection,Finally, because wheat is grown worldwide, different varieties, planting densities, patterns.


Birds Recognition

Our research is mainly focused on the detection and classification with Sound and images, we want to assist experts and citizen scientist in their work of monitoring and protecting our birds Record some chirping and what kind of bird is making the sound


Flower Detection

While the traditional human approach for plant classification would be to compare color and shape of leaves, machine learning can provide more accurate and faster results analyzing the leaf vein morphology leaf. An analysis of the generalization capability.


Grapes Breeding Recognition

Species selection is a tedious process of searching for specific genes that determine the effectiveness of water and nutrients use, adaptation to climate change, disease resistance, as well as nutrients content or a better taste.