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ADVANCING WITH INDIA – DIGITAL EXCELLENCE

Building connected, intelligent and future-ready operations

Today, technology transcends beyond just simplifying and automating processes. It is more about building intelligent systems that support informed decision-making and delivering transformative outcomes, whether in business, on the field for our farmers or in the engineering solutions we deliver to our customers. We are therefore making bold investments in AI and analytics, automation and digital intelligence to create a future-ready Triveni and accelerate the modernisation of Indian agriculture.
Building a data-driven organisation

We are implementing SAP RISE with S/4HANA, enhanced by SAP's generative AI solution Joule, along with comprehensive dashboard and analytics capabilities. The implementation follows SAP's recommended best practices with a focus on business process optimisation rather than simply replicating our legacy systems.

Transforming farming with advanced technologies

We are at the forefront of deploying advanced digital technologies that empowers farmers in enhancing productivity and yields.

Triveni Cane, our dedicated cane development app, provides farmers value-added agronomy services, GPS-enabled real‑time weather information, support in locating vendors and seamless communication. Our satellite mapping technology helps identify waterlogged areas, analyse sugarcane health and detect disease. This is complemented by drone‑based services involving gathering granular insights and spraying pesticides.

In FY 25, we progressed in our digitalisation journey, making investments in advanced digital solutions. These include:

AI-powered agricultural assistance for sugarcane farmers

We are in the process of deploying an innovative AI-powered agricultural assistant designed for sugarcane growers. This comprehensive system will transform farm management through intelligent disease detection, weather forecasting, and pest prediction capabilities.

Key features
Image-based disease detection
  • Farmers can send photos of affected sugarcane plants through WhatsApp for high-accuracy analysis on disease identification using ML algorithms.
Personalised treatment recommendations
  • Immediate customised remedial actions for diseases, including appropriate treatments, dosages, and application methods.
Weather intelligence
  • Hyperlocal weather forecasting to help farmers plan critical activities like irrigation, fertilisation, and harvesting for maximum efficiency.
Pest prediction system
  • Advanced algorithms predict potential insect infestations based on environmental conditions, crop stage, and historical data, enabling preventative measures.
WhatsApp integration
  • The entire system operates through WhatsApp, making it accessible to farmers who have limited digital literacy and basic smartphones.
Benefits
  • Reduction in crop losses and 10-15% potential increase in sugarcane yield through timely disease management.
  • Optimised resource (water, fertilisers, pesticides) utilisation.
  • Accessibility of expert agricultural advice to all growers.
  • Reduced environmental impact through precision agriculture practices.
Automated Sugarcane Reporting System

This system advances our agricultural information management by eliminating manual intervention in distributing critical daily reports in sugarcane operations. It ensures reliable, timely delivery of essential information to decision‑makers, while maintaining strict security protocols.

Key features
Scheduled automation

Daily sugarcane reports are generated and distributed automatically at predetermined times, ensuring consistent information flow without human intervention.

Role-based access control

Reports are delivered exclusively to authorised personnel based on predefined security clearances and organisational roles.

Customised report distribution

Tailored report for different stakeholders containing only the information relevant to their responsibilities and authorisation level.

Benefits
  • Elimination of manual report compilation and distribution errors.
  • Guaranteed on-time delivery.
  • Reduced administrative overhead for agricultural information management.
  • Enhanced information security through controlled distribution.
  • Consistent reporting format and data presentation.
Smart technologies for efficient water treatment plants

We are increasingly deploying advanced technologies in our water treatment solutions to enhance their efficiency and facilitate the treatment facilities in achieving sustainability goals. Some of the key technologies being deployed include:

Internet of Things (IoT) integration

We are using IoT devices in water treatment plants for real‑time monitoring of water quality and system performance. These are helping improve process efficiency and optimise machinery like programmable logic controller (PLC) and supervisory control and data acquisition (SCADA) systems.

Benefits of IoT integration
  • Real-time monitoring ensures continuous oversight without needing on-site personnel and water quality remains compliant with safety standards.
  • Timely notification, allowing operators to tackle issues quickly.
  • Integrated alerts within SCADA systems help detect anomalies promptly.
  • Supports predicting failures, allowing for proactive maintenance and reducing downtime.
Automation system

Embracing digital technologies and automation is not merely an operational enhancement but a central pillar of our strategy. We have therefore integrated advanced digital technologies in manufacturing operations to automate processes and enable access to real-time data. This has helped reduce manual intervention, human error, and unplanned downtime, while providing us with actionable insights for informed decision-making and better competitiveness.

Further, the implementation of Centralised Distributed Control Systems (DCS) and phased plant integration strategies has enabled closed-loop automation and established a foundation for traceable, compliant operations. The automation infrastructure inherently supports better documentation, real-time status tracking, along with traceability and improved throughput.