klyff.com

Agriculture

Implement advanced technologies and provide the agricultural industry with the infrastructure to use smart farming technologies, including smart sensors, cloud services, artificial intelligence (AI), Machine Learning (ML) and the Internet of Things (IoT), Data Analytics, Software (IoT platforms) to track, monitor, automate and analyze data to increase the sustainability of agricultural production. 

The need

Improve the quality and quantity of yield

Also known as precision agriculture, it uses advanced technology to monitor and manage agricultural processes. This approach is based on data and technology to determine the specific type, amount and location of resources such as water, fertilizer and pesticides.

Smart agriculture includes sensors, automated machinery, GPS technology and data analytics. These technologies allow for precise control of resources, reducing environmental impact and increasing crop production efficiency. Farmers can tailor water and fertilizer applications to the specific needs of each plant, optimizing growth and yield.

 

Use cases

Enhance your farm with Smart Technology

Precision Agriculture

Use of technology to collect and analyse data to optimise agricultural practices. This approach ensures that crops receive the right amount of water, nutrients and pesticides at the right time, maximising yields and minimising waste.

Automated Irrigation

Systems use data from soil moisture sensors and weather forecasts to deliver the right amount of water to crops at the right time. These systems help save water, reduce labour and increase yields.

Robotic Harvesting

Designed to pick fruit and vegetables accurately and gently, reducing the need for manual labour and ensuring timely harvest. These robots use computer vision and artificial intelligence to identify ripe produce and pick it without causing damage.

Livestock Monitoring

Wearable sensors and IoT devices monitor the health, behaviour and location of livestock. These systems help farmers detect health problems at an early stage, optimise feeding schedules and improve the overall welfare of their animals.

Vertical Farming

Growing crops in vertically stacked layers, often under controlled indoor conditions. This method uses hydroponics, aeroponics and modern lighting systems to optimise plant growth and maximise space utilisation.

Agricultural Drones

Crop monitoring, soil analysis and spraying. Equipped with sensors and cameras, drones can capture high-resolution images and provide detailed information about crop health and field conditions.

Why Klyff

Agriculture and Farm Management

Enhance productivity, reduce resource wastage, and ensure sustainable agricultural practices.

AI models and Firmware Upgrades
Remote model deployment and firmware upgrades over the air to roll out new features and security patches
Easy Real-Time Dashboards
Visually appealing information radiators for all aspects of management
Integration
Integrated with existing building management systems
Extensive Connectivity
Connect with a wide variety of devices in your building via the following built-in protocols: HTTP, CoAP, MQTT, LwM2M, and SNMP.
Scalability & Availability
All platform components are horizontally scalable. Klyff has production deployments supporting more then 500,000 devices connected.
LoRaWAN & SigFox Support
Connect LoRaWAN devices via integrations with standard network servers like TTN, LORIOT, ChirpStack, Actility, etc. Connect SigFox devices via integrations with the SigFox backend.
Mobile Application
You are never too far from your facility with all the functionality available in the palm of your hand
Peace of mind
Maximised efficiency, reduced downtime, low operations costs, improved decision making and full security
Case Studies
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