Smart Agriculture

Mapping Crops

CLS helps farmers and agricultural businesses identify and monitor various crop types, including oil palms, coconuts, rubber, coffee, cocoa, avocados, mangoes, peppers, rice, maize, and sugarcane.

Our service provides detailed insights such as field size, planting density, and, for oil palms, plantation age based on tree height.

Our experts monitor changes over time to detect significant shifts in crop patterns.

Detecting Changes

Our experts use satellite data to analyze large agricultural areas quickly and identify potential issues, such as changes in vegetation density, color, or growth patterns.

These anomalies may indicate irrigation issues, flooding, pests, diseases, inappropriate fertilization, or even unauthorized harvesting.

Estimating Crop Yields

CLS provides crop yield estimations using satellite data to rapidly analyze large areas and forecast agricultural production potential.

By comparing historical datasets with current satellite imagery, we evaluate key indicators like vegetation density (NDVI), planting density, and more to estimate future yields.

Our specialists can develop predictive models that estimate production levels at specific times.

Near-real-time monitoring of soil quality

Healthy soil is the foundation of productive agriculture, and it is crucial to determine when and how often nutrients need to be added.

CLS enables near real-time monitoring and assessment of soil quality.

With the global population projected to reach 9 billion by 2050, food production must increase by 70% to meet demand, while natural resources remain limited. Innovation must begin now.

Access to strategic information on indicators such as water usage, soil quality, equipment efficiency, and herd monitoring has never been more essential.

We provide connected sensors, precise soil condition data, reliable connectivity, and decision-support platforms. These high-performance tools enable stakeholders in agriculture — farmers, cooperatives, technical advisors, scientists, industries, and policymakers — to:

• Monitor crops in real time to optimize yields and reduce inputs.
• Analyze soil health and fertility to plan suitable agricultural practices.
• Make informed decisions based on reliable, multi-source data.
• Address sustainable development goals through responsible resource management.

With our solutions, agricultural professionals can maximize productivity while protecting the environment, contributing to resilient and sustainable farming in the face of climate change.