- Outdated agricultural techniques
- Lack of knowledge about soil health, weather, pests and diseases, etc
- Use of harmful chemicals such as pesticides and fertilizers, etc.
- Improper irrigation system
- Inaccurate crop monitoring
- Financial shortcomings
- Weak supply-chain management system.
- Lack of farmer friendly crop insurance schemes
Farmers are able to analyze their crop fields and overall production with the help of land survey using GIS/Drones
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
In case of a natural calamity, farmers can redeem their relief amount easily as they can provide proper information regarding their field
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.
Improve environment impact and compliance reporting with localised science-based crop nutrient budgets. Verify crop rotation practices and crop management efficiency.
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
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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