Digitalization – A necessity in the evolution of agriculture

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Agriculture is an occupation as old as human civilization, and it has continuously evolved to become a USD 12,000+ billion industry today. Its progress – from Agriculture 1.0 to Agriculture 4.0 – has shaped communities, economies, and human ambition itself.

The wheat, barley, and rice sown in ancient Mesopotamia and China have since paved the way for communities worldwide to take crop science to the next level. From farming methods to crop modification and agricultural equipment to farming intelligence, every aspect of agriculture continues to undergo metamorphosis.

Timeline of Agriculture Technologies

The need to embrace digital agriculture

Today, we stand at a critical juncture in the history of agriculture, food production, and human sustenance. The post-industrialization approach to agriculture and other industries (which has seen an unabashed use of harmful chemicals and polluting practices) has resulted in significant environmental damage and accelerated climate change.

If left unattended, the preceding volume-focused approach to agriculture is estimated to impact both crop yields and livelihoods significantly. According to experts, crop yields will drop anywhere between 2% and 7% for the top four global crops (wheat, rice, maize, and soybean) with rise in temperature. With one-third of the world's agricultural supply delivered by smallholder farmers, such yield reduction will threaten the existence of these already marginalized communities.

What is digital agriculture and why does it need urgent adoption?

Digital agriculture is an approach to smart farming that ensures optimum yield quality and quantity while using natural resources such as water and agrochemicals intelligently; it does so by leveraging smart technologies. This presents a potent opportunity when we consider that by 2050, we will need to produce 70% more food while accessing only 5% more farms, as per UNFAO (United Nations Food and Agriculture Organization) estimates.

Clearly, the key to provisioning for the increased food demand is not scale (with limited land availability) but efficiency. Technology is the biggest enabler in the process and that makes digital transformation an imperative for growth.

Digital agriculture leverages geospatial and cloud-based farming solutions such as geotagging, Machine Learning, and Artificial Intelligence in agriculture to enable all stakeholders across the value-chain to get comprehensive, real-time intelligence. Accordingly, they can work to ensure better implementation of Package of Practices (PoP), make timely interventions in case of emerging threats, and continually optimize to ensure sustainable operations and best-in-class yields at every stage paving way to climate-resilient agriculture.

Some of the key features that define digital agriculture/smart farming include:

On-ground intelligence

This collects real-time data from farms and operational units by leveraging technologies such as geotagging, satellite monitoring of crops, remote sensors, Internet of Things (IoT) sensors, and agricultural robots (Agribot) and industrial robots. As a result, stakeholders can immediately discover and address any change in weather prediction, crop ecosystems, and the produce environment.

Data analytics

Understanding the fast-changing agricultural landscape can be overwhelming. This holds true for both companies with farms across geographies as well as smallholder farmers. Digital agriculture platforms use crop- and variety-specific historical intelligence along with real-time data to present critical patterns and actionable data. They do so by deploying technologies such as AI and ML along with blockchain and big data, making the entire process effortless.

Information integration

Timely, comprehensive information is the key to improved agricultural practices and operations. Digital agriculture tools make this doable owing to their cloud computing and data integration capabilities. A unified dashboard serves as a single source of truth for all stakeholders. Additionally, tools offer critical updates to urban and rural users on their preferred channels, bridging information gaps between different stakeholders.

Short- to mid-term benefits of digital agriculture

Implementing digital agriculture is fast proving to be beneficial across industries, geographies, and farm sizes. It enables accurate monitoring, optimized operations, and well-informed management. End-to-end digitization allows industry stakeholders to improve yield quality and volumes while meeting cost efficiency and sustainability goals. From farming and seed companies to food processing and Agri-input companies, organizations are increasingly deploying digitization of their farms and value chains. In fact, government bodies, non-profit organizations, and lending entities are also leveraging such tools to make decisions that benefit everyone.

Some of the key areas in which digital agriculture is making an impact include:

  • Farm performance and per-acre yield enhancement
  • Yield prediction and risk mitigation
  • End-to-end traceability and certifications
  • Farmer enablement, engagement, and empowerment
  • Demand forecasting and supply chain management
  • Smallholder farms and sustainable livelihoods
  • Adoption of climate smart agriculture

These benefits become critical when we consider the challenges that lie ahead for agriculture and related industries. There is increasing awareness and demand for produce grown responsibly by consumers and policymakers. However, growing such produce without compromising on costs and volumes calls for a new revolution – Agriculture 4.0.

Those leading this change are already reaping the benefits. For instance, a global leader in the seed industry adopted digital agriculture across 32 countries using Cropin's real-time intelligence. Digitalization enabled the company to positively impact seed quality and yield for more than 2500 varieties; it has set new benchmarks in sustainable farming and scalability with digitally trackable standardized operating practices. Click here to download the case study.

The next agricultural age is upon us. And its universal prevalence is inevitable, as proven by history. However, organizations and countries that are quick to leverage it in the most innovative ways will be the ones that experience immense benefits. They will find themselves collaborating with Agri-tech partners to unlock scale in the context of profitable, sustainable farming.

Cropin has leveraged its 12+ years of expertise in the Agri-industry to develop the multi-tenant, scalable, flexible, and intelligent agriculture cloud platform called Cropin Cloud. This enables a rapid and far-reaching digital transformation in the Agri-ecosystem that helps understand risks, maximize revenue, minimize costs, and ensure traceability, predictability, and sustainability.

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Know more about Cropin Cloud - the world's first intelligent agriculture cloud platform

Cropin Apps

Applications for

Cropin Apps is an integrated portfolio of highly customizable apps and solutions that capture and digitise agri-data from the farm to the warehouse to the fork. These applications are designed to scale digital transformation across agriculture and allied industries including forestry, commodity, banking and insurance.


ML-ready data pipelines for enhanced analytics

Cropin Data Hub is designed to deliver the power of unified data by enabling interfacing with all agri-data sources from on-the-field farm management apps, IoT devices, mechanization data from farming resources, drones in agriculture, remote sensing satellite information, weather data, and many more.                                                      


Access to field-tested machine learning models

Cropin Intelligence enables access to over 22 of Cropin’s contextual deep-learning AI models to help agri-businesses with insights and predictive intelligence. Built using the world's largest crop knowledge graph, these models have been field-tested and deployed worldwide while being fine-tuned to work with a range of specific crop varieties, conditions, and locations.

Abishek Keerthi Narayan

About the Author

A results-driven and strategic leader with over 18 years of experience in customer success, SaaS, management consulting and technology enablement. Proven track record of implementing customer-centric strategies to realize the key business outcomes of clients. Strong leader with a track record of building and scaling high-performing teams. Passionate about solving customer problems, creating value, and driving success.