Digital agriculture is becoming an important part of how governments and institutions monitor crops, estimate production, and plan agricultural interventions. Gujarat’s Krushi Pragati is one example of how these technologies are being applied at the state level.

Krushi Pragati, the digital agriculture initiative of the Directorate of Agriculture, Government of Gujarat, has received the ISSCA Global Award 2026 in the Digital Agriculture category at the Dryland Congress 2026. ICRISAT recognised the initiative as a unified Geospatial-AI platform for digital monitoring of agriculture, crop acreage and production estimation.

For Amnex, the recognition has a direct connection to the work behind the platform. Amnex is the AI and OEM partner for Krushi Pragati, and has been involved in building and operationalising the Geospatial-AI platform that enables Gujarat to monitor crops and estimate crop area and production using satellite imagery and data-driven intelligence.

The award puts a spotlight on the technology itself, but it also reflects a larger change in how digital agriculture is being approached.

What is happening in digital agriculture?

Agricultural conditions can change significantly during a season. Crop patterns vary across regions, weather affects crop growth and production, and pest and disease situations can develop over time. For a state working across a large and diverse agricultural landscape, keeping track of these changes requires information that is both broad in coverage and detailed enough to support planning.

This is where satellite imagery, remote sensing, GIS and AI can add significant value.

Krushi Pragati uses these technologies for crop identification, crop acreage estimation, yield and production modelling, crop-loss assessment, crop-stress monitoring, weather analysis and pest and disease identification. Its official platform also uses remote sensing and GIS to assess crop acreage and sowing patterns, with reports published every 15 days during each season.

The objective is practical: provide a clearer view of what is happening across Gujarat’s agricultural landscape so that the information can support planning and decision-making.

Where Amnex fits in

Amnex’s role is centred on the technology behind this process. As the AI and OEM partner for Krushi Pragati, Amnex has contributed to the Geospatial-AI layer that brings together satellite imagery, remote sensing, geospatial analytics and AI/ML for agricultural monitoring and estimation.

This also builds on Amnex’s wider experience in precision agriculture, including the use of GIS, remote sensing and AI-based satellite image processing for crop monitoring and agricultural decision support.

At this scale, the challenge is not simply building a model that can identify a crop. The bigger challenge is bringing together different data sources, processing them across large geographies and turning the results into information that can be used by government departments and other agricultural stakeholders. That is what makes the engineering behind projects like Krushi Pragati important.

Why the recognition matters

The ISSCA Global Awards 2026 recognised agricultural innovations from across the Global South, with 170 nominations from 34 countries in the inaugural edition. Krushi Pragati was one of two recognised initiatives in the Digital Agriculture category, alongside the APMIP Digital Ecosystem of Andhra Pradesh.

The timing is also significant. In June 2026, BRICS agriculture ministers agreed to establish a Network on Digital Agriculture to deepen cooperation around AI-driven decision-support systems, geospatial intelligence, IoT-enabled monitoring and advanced data analytics.

These developments point to a broader shift. Digital agriculture is increasingly being treated as an important part of agricultural planning and infrastructure, with technologies such as AI, satellite data and geospatial systems moving into larger operational programmes.

For Gujarat, the ISSCA award recognises work already being carried out on the ground. For Amnex, it is recognition of the technology contribution behind that work and the role of engineering in making these systems usable at scale.

What comes next?

The next step is to make agricultural monitoring more useful for the decisions that follow. Better crop monitoring can contribute to better production estimates. More frequent observations can help identify changes earlier. Predictive models can support earlier assessment of potential risks. And when these capabilities are connected with agricultural services and government workflows, the information becomes more useful beyond a monitoring dashboard.

This is where the opportunity for AI in agriculture lies: not simply in applying AI to agricultural data, but in building systems where technology can support better agricultural decisions.

Krushi Pragati’s ISSCA recognition is an important milestone in that journey.

For Amnex, it is another example of how AI, geospatial technology and engineering can come together around a real operational requirement and how that technology can be built for the realities of agriculture in Gujarat.