AgBoost Tech Consultancy

GIS & Remote Sensing



Farm Analysis

Farmers are able to analyze their crop fields and overall production with the help of land survey using GIS/Drones

Farm Management

Farmers get full control on the crop yield since they have easy access to their field’s analytics based on which they can make the desired decisions


Hydroponics is the method of growing plants, usually crops, without soil but by using mineral nutrient solutions in an aqueous solvent.

Crop Insurance

In case of a natural calamity, farmers can redeem their relief amount easily as they can provide proper information regarding their field

Services We Offer

Agronomy and Crop

Get regular crop health reports and automatic crop stress alerts to focus on the right crops, fields and areas with easy-to-understand data, equally accessible in the field and in the office.

R&D and Trial

Refine your management practices and fast-track your product-to-market trails using FluroSense trial reports. Set up your trials in minutes and get expert-ready analytics.

Sustainability and

Improve environment impact and compliance reporting with localised science-based crop nutrient budgets. Verify crop rotation practices and crop management efficiency.

Technologies We Use

AI and ML

Geographic information system uses satellite imagery for capturing, storing, checking, and displaying data related to positions on Earth’s surface.

In agriculture, this is very helpful in predictive and prescriptive analytics for studying the land and its attributes.


For precision farming, drones can do soil health scans, monitor crop health, assist in planning irrigation schedules, apply fertilizers, estimate yield data and provide valuable data for weather analysis.


A number of sensing technologies are used in precision agriculture.

Providing data that helps farmers monitor and optimize crops, as well as adapt to changing environmental factors

AI and ML

Using the machine learning algorithms in connection with images captured by satellites and drones.

AI-enabled technologies predict weather conditions, analyze crop sustainability and evaluate farms for the presence of diseases or pests and poor plant nutrition on farms with data like temperature, precipitation, wind speed, and solar radiation


IoT in agriculture technologies comprise specialized equipment, wireless connectivity, software and IT services.

IoT smart farming solutions is a system that is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, crop health, etc.)

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