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The Rise of AgriTech Ecosystem in India

Agriculture has always been at the heart of the Indian economy. The bulk of the population is still dependent on agricultural activity to meet their basic needs. Even though there has been a digital boost amongst the farmer community present in the market, agricultural productivity is still low. Also, the proportion of agricultural employees in India is anticipated to fall to 25.7% by 2050. Furthermore, with high labor costs, a shortage of skilled workforce, and food security among the primary issues impeding agricultural output, farmers require a technological boost to match the rising demand. 

Where other businesses are facing a funding winter amidst this economic crisis, the agritech market is anticipated to increase at a CAGR of almost 50%, hitting a $34 billion market by 2027 over the next five years, reveals a new report by Avendus Capital. This will only lead to the rise of agritech ecosystem in India. Here are the 3 major trends dominating the industry:

  1. Increased investments in Agri-tech: An EY report states that the Indian agritech market potential is expected to be around US$ 24 billion by 2025 According to Entrackr, between January 2020 and June 2022, about 100 agritech startups raised nearly $1.33 billion across 139 deals.
Agritech startup funding Y-O-Y growth
Agri startup funding
  1. Boost in Digital Literacy in Tier 2 & Tier 3 cities: In the last 5 years, smartphone penetration has soared by 150%, reaching 50% of rural households. This has helped to democratize the knowledge that can be used for agricultural management. Short-form video consumption has driven social media usage in rural India. The apps like MX Player, Snapchat, and Moj are ranked #2, #4, and #6 in terms of app downloads in India, respectively, according to Digital India 2022 (DataReportal).
  1. Farming-as-a-Service: Given the uncertainty around commodity prices and marketing, FaaS has been a lifesaver for marginal farmers and farm owners looking to cut fixed expenses and lower the need for collateral. As the cost of using a machine is split across multiple entities, they can rent rather than buy making it more affordable and accessible.

Indian agribusiness is surely getting a makeover and the focus is more on creating a better mobile experience for farmers by arming them with smart devices and digital tools to create a smooth mobile experience. The number of Agri-based Mobile applications has also shot up at a much faster rate. Industry behemoths have already ventured into the field to fill the existing gap in the market. Let’s look at some of the popular agri-based applications: 

  1. ITC MAARS: FMCG conglomerate ITC launched a super app– ITC MAARS (Meta Market for Advanced Agricultural Rural Services) to boost farmers’ income and efficient procurement of Agri products by providing agricultural and related services to farmers on a digital platform. The phygital ecosystem gives farmers AI/ML-driven value-added personalized and hyperlocal crop advisories. 

Features:  

  • A crop calendar for scientific planning of crop cycles, 
  • A ‘‘crop doctor’’ function for real-time resolution of infestation, 
  • Access to good quality inputs and market linkages, 
  • Real-time soil testing, and precision farming among others. 

It will also onboard financial partners to provide loans and sell insurance. The app will allow the farmer to check the prices of the products in the nearest mandi and the option to sell them to ITC.

  1. Kisan AgriDoctor: AgroStar
Popular agri-based applications: Kisan AgriDoctor: AgroStar

A one-stop shop for all farmer needs, Kisan AgriDoctor has over 5 Lakh farmers on its Kisan agricultural Helpline app, which also happens to be the highest-rated farming-focused app in India.

  1. Samaadhan FaaS: EM3 AgriServices
popular agri-based applications: Samaadhan FaaS: EM3 AgriServices

Centered on providing technology and mechanization to the farming community on a Pay-for-Use basis to increase agricultural output.

  • Through a network of farm hubs, the app provides a platform that enables technology to reach the farmer and the farm (Samadhan Kendras)
  • Each unit is outfitted to handle a full range of fundamental and precision agricultural activities across the entire crop production cycle and is administered by IT-enabled technologies.
  1. GrainBank: Ergos 
popular agri-based applications

A technological platform that lets farmers transform their grains into tradable digital assets, get loans against those assets through associate NBFCs and Banks, and get better prices for their output.

The Way Forward: 

Attracting farmers to the mix through a knowledge management portal and using it to engage with them has become an absolute necessity now. This platform could be a marketplace, a movie theatre, a medical device, or an upskilling venture in the hands of the group. It is a data mine of valuable information, providing insights into the behavior of one of the largest occupational sectors of the country. The other means could be a  transparent ecosystem along with a mobile app with a smart interface that would help in making farmers’ journeys more transparent, trackable, and real-time in action. 

Additionally, government initiatives such as an exclusive super app for farmers would educate them on post-harvest concerns including marketing, crop cultivation, and technology. It will also facilitate direct communication between farmers and the scientific community offering limitless possibilities and dramatically improving the experience for farmers, consumers, and organizations. Further, the recently announced agriculture-focused accelerator fund in the Budget 2023 would significantly strengthen the agritech ecosystem.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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