The worldwide digital farming industry was estimated to be worth USD 24.1 billion [1] in 2023 and is expected to increase at a compound annual growth rate (CAGR) of 13.2% to USD 71.96 billion by 2032.
With the growing global popularity of tech-based precision agriculture, Indian agriculture is undergoing a revolutionary digital shift. Presently, India has around 3850 AgriTech [2] startups catering to large farms and boosting the ROI of marginal agronomists.
The digital agricultural operations strategy uses AI-enabled technology and geopolitical systems (GPS) to map farmlands accurately and ensure each crop receives the supplies it requires for maximum yield.
Are you an agricultural enterprise looking for digital farming solutions to empower agronomists and boost quality produce? We have got you covered!
This blog explores the intricacies of digital farming in India, the technologies used and the processes to empower agronomists. Let’s dive in!
Table of Contents:
- Understanding Digital Farming
- Impact of Digital Farming on Traditional Processes
- Leveraging the Use of AI in Digital Farming Technology
- Summing Up
- FAQS
Understanding Digital Farming
Digital farming is the process by which agronomists employ technology to combine field-level and statistical data for comprehensive farm operation monitoring.
Analysis of the data from every field can yield details about crop development trends, soil conditions, and climate patterns, which can be used to reduce damages and maximize farm output.
Farm analytics harnesses advanced technology to optimize and streamline agricultural processes, making them more efficient and data-driven. By leveraging farm analytics, agricultural enterprises can automate tasks, significantly reducing agronomists’ physical labor while improving decision-making.
These innovations help AgriTech industries make informed choices and enhance productivity in various ways. For instance, farm analytics assists food and beverage firms in optimizing their procurement strategy by offering insights into crop yields and market trends.
Additionally, it provides useful information to NGOs and organizations carrying out agriculture extension projects so they can better allocate resources and customize services for agronomists.
Advancements in Technology Shaping Digital Farming in India
Let’s explore digital farming technologies and their utility present in the contemporary Indian agriculture sector:
1. Irrigation System
Timely irrigation is a critical challenge in farm management. Traditional irrigation schedules often fail to consider soil moisture needs, leading to severe consequences for crops and agronomists.
For effective digital farm management, irrigation should be applied only when soil moisture levels drop below a threshold that could harm the crops. Ignoring these factors often leads to over-irrigation and water wastage, underscoring the need for more data-driven approaches to farm management.
However, with the rise of digital farming, Agri-input companies can leverage tech-based irrigation advisories to provide agronomists with real-time data. For instance, digital farming technology automates irrigation systems using soil moisture sensors. When soil moisture levels drop below a threshold, the pump sends a message to the agronomist’s mobile asking for irrigation permission. Once granted, the pump starts irrigating the field until the sensor signals to stop the water flow.
This helps optimize irrigation schedules, ultimately driving sales of an enterprise’s products while supporting sustainable farming practices.
2. Remote Sensing
Fertile soil is the basis for successful crops. For this, in-field soil sensors are becoming a more crucial piece of equipment on farms. The National Crop Forecasting Centre (NCFC) [3] and the Ministry of Agriculture are using an end-goal approach to crop yield forecasting.
This remote sensing employs satellite imagery to enhance farm scouting and crop monitoring by providing high-resolution, real-time data on agricultural fields.
(Image Source: https://fasal.co/)
By ensuring timely harvests and improving product reliability, remote sensing helps food firms manage their supply chains more effectively. Similarly, agri-input companies can help agronomists get the correct inputs at the right time by using satellite data to customize their product suggestions.
Governments can use remote sensing to draft efficient policy decisions, allocate resources, and determine how climate change affects crop yields. This data supports Initiatives for food security and sustainable farming methods.
Furthermore, insurance firms can use remote sensing solutions to evaluate risk and handle claims more effectively. By remotely monitoring crop conditions and damage assessments, they can expedite the claims process and provide more precise coverage alternatives.
3. GPS Tractor
See how this company has solved some of the major issues faced by the farmers related to their tractor use. Check the video here
GPS tractors support the productivity of agricultural enterprises by offering accurate mapping and navigation. This coming-of-age technology promotes sustainable farming methods by increasing field efficiency and lowering fuel costs.
Digital farming technology is enabling companies to create driverless tractors for agronomists. These tractors utilize pre-feed land records for automatic plowing, enabling agronomists to focus on other important tasks.
4. UAVs/Drones
The worldwide agriculture drone market is expected to be worth USD 23.78 billion by 2032, growing at a compound annual growth rate (CAGR) of 18.5% [4].
Various agricultural enterprises, including large-scale farms, precision agriculture companies, and agronomy service providers, are using UAVs/drones for crop monitoring.
Aerial drones are transforming crop protection methods by giving agronomists new insights into their daily activities. Numerous drones are even outfitted with specialized imaging equipment that can deliver critical data on the condition of crops throughout the cultivation process.
Some of the top utilities of drones in a digital farm are:
- Soil and field analysis
- Weed identification
- Crop spraying
- Livestock management
- Crop monitoring
- Pest and disease identification
- Crop health assessment
5. Weather Data
The days of agronomists relying on the sky to predict rainfall are long gone. With the rise of digital farming, agritech companies can now provide agronomists with access to real-time weather forecasts directly on their mobile devices.
Applications like Khetibuddy Farm provide comprehensive, valuable data to improve agricultural practices throughout the crop’s lifespan. Enterprises and agronomists can use the local seven-day weather prediction to make appropriate plans for farm activities. Additionally, the app helps to keep abreast of the prices at which the produce is being sold in local mandis.
Additionally, space-tech startups can utilize AWS to help agronomists predict weather conditions. They collect real-time weather and crop monitoring data and disseminate it to agronomists via mobile or in-app notifications to aid informed decision-making.
Image source: (yourstory.com)
Impact of Digital Farming on Traditional Processes
Digitized solutions like agri-lending and m-commerce have improved traditional processes involved in financial functionalities.
1. Finances
In India, 63.64% of the population [5] is rural, yet they are largely deprived of financial services. Banks primarily target urban consumers but neglect the rural community.
Fintech startups are catering to this issue by offering crop loans directly through mobile apps, using satellite imagery and identification documents to verify authenticity.
State Bank of India (SBI) has launched YONO Krishi, a banking app for agronomists, enabling quick savings account opening and access to farm loans.
2. Lending and Insurance
Cloud-based AgriTech services are transforming agri lending and agri insurance by offering feasible information on the related risks of farm plots.
MIS maintains cloud storage to save the accessible farm records. When an agronomist approaches the bank to request a loan, the bank can utilize AgriTech software as a service (SaaS) to examine the agronomist’s data about yield and profitability over the previous 10 years.
3. Market Linkage
The agriculture ecosystem relies on the supply chain for agronomists to sell products at the best price. Digital farming often overlooks market linkage, which is crucial for evaluating the technology’s effectiveness.
Agronomists often struggle to know the actual price of their produce due to traders’ cartelization and the formal auction process. However, with the availability of unified SaaS platforms like Khetibuddy, agricultural enterprises can develop a marketplace with robust market linkages where agronomists can list their products seamlessly.
https://youtube.com/watch?v=Twl4%26%238211%3BEiYSM
With the Khetibuddy m-commerce platform, you can exceed customer demands by increasing your service radius and boosting brand awareness.
Leveraging the Use of AI in Digital Farming Technology
Some of the issues confronting Indian agriculture include declining farmland, limited and dispersed land ownership, low production per hectare, declining groundwater levels, logistics waste, and inadequate market awareness.
Machine learning and artificial intelligence are making precision farming possible and tackling many of these issues. With real-time price prediction, demand projections, and planting instructions sent straight to agronomists’ mobile screens, artificial intelligence is aiding agricultural enterprises.
By selecting the appropriate crops, hybrid seeds, and planting dates, agricultural enterprises can optimize their profits and reap abundant returns.
Benefits of Digital Farming
Digital farming transforms agricultural operations by integrating real-time data, AI-powered insights, IoT sensors, drones, and satellite monitoring into everyday decision-making. These technologies help improve crop health monitoring, optimize irrigation schedules, and ensure the efficient use of fertilizers and other resources. By enabling early pest and disease detection, digital farming reduces crop losses while increasing productivity and operational efficiency. It also supports sustainable agriculture by minimizing water consumption, reducing input costs, and promoting data-driven practices that lead to better long-term outcomes.
Summing Up
Digital farming is a broad and transformative concept that has the potential to revolutionize the entire agricultural ecosystem. By integrating advanced technologies, digital farming enhances efficiency and paves the road ahead for climate-smart agriculture.
Agtech in India keeps growing, from breakthroughs by new businesses and big tech firms to core organizations in the value chain utilizing digital tools. It is time for agricultural enterprises looking for innovative ways to enhance productivity to implement digital solutions in their farms.
Leverage an adaptable business cloud platform to integrate the agronomists experience throughout the agri-value chain with Kheti Buddy! We provide an advanced suite of precision farming solutions to agricultural enterprises for boosting crop health.
FAQs
How does digital farming improve crop yields?
Digital farming increases crop yield by assisting agronomists in making better choices about planting, fertilization, watering, and pest and disease management.
How can digital farming help reduce costs for agronomists?
Digital farming reduces costs for agronomists by optimizing resource use and improving operational efficiency through data analysis.
What is the role of data analytics in digital farming?
Health investigators can use data analytics. By examining photos from drones and crop sensors, agronomists can identify early indicators of pest outbreaks and nutritional deficits.
How can agronomists access weather data through digital farming solutions?
Agronomists can access weather data through digital solutions via online platforms and IoT devices that provide real-time forecasts.
What are the benefits of using precision agriculture in digital farming?
Precision agriculture can help improve crop quality by providing data on the quantity of water and nutrients that crops require for better yields.
References:
- https://www.fortunebusinessinsights.com/digital-farming-market-106784
- https://tracxn.com/d/explore/agritech-startups-in-india/__R7Goxl_PZW5pPOFh2nTxcoos_7UGPeuksQVbmWwyS6A/companies#:~:text=There%20are%203%2C850%20AgriTech%20startups,%2C%20DeHaat%2C%20WayCool%2C%20BigHaat.
- https://mospi.gov.in/agriculture-statistics
- https://www.fortunebusinessinsights.com/agriculture-drones-market-102589
- https://tradingeconomics.com/india/rural-population-percent-of-total-population-wb-data.html
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