With world advancement, AI is the new talk of the town. It is the future for different kinds of industries, as new technology comes with AI. Different nurturing techniques and preparation of beverages aren’t something AI can’t do. These modern initiatives are enough to harvest tea plants, helping the tea industry. Harvesting is managed using computer vision to pick prime leaves, which are the best for quality control. Crop management gets better with AI usage in the tea industry. There’s almost no domain where AI doesn’t have its usage, with the tea industry being one of them.
Are you wondering exactly how AI is used in the tea industry? This blog has cleared all of that by explaining the uses of AI in the tea industry as a guide.
AI In The Indian Tea Industry: Key Statistics (2024–2025)
Market Overview
- Around 20–22% of global tea production is contributed by India, which is a big thing.
- India is also the second-largest producer of tea, which is another accomplishment.
- AI adaptation is now a thing in India, where industries like the tea industry are benefiting.
- AI is being adopted at a high rate in the tea industry of this country, with a rate of 8% in 2020.
- This rate has grown since that year and is 30–35% for the major tea estates and processing units in 2025.
- The AI-driven agritech market in India also includes the tea industry.
- That was valued at USD 300–350 million in 2024 and may grow even more by the year 2030.
- This may reach USD 700 million by 2030, which is projected with a CAGR of 13–15%.
What Is The Usage Of AI In The Tea Industry?
Cultivation & Harvesting—
Selective Harvesting:
The best-quality tea leaves can be easily identified with the help of AI-powered robots with cameras. This is actually helpful in choosing the best tea leaves based on color and size. Precision is a big factor when AI does the job, improving consistency.
Crop Management:
Drones and different sensors are used in the tea industry to monitor different factors, like soil health. Any disease outbreaks can be detected early with AI in the industry. The moisture levels are also monitored by AI, helping farmers to make the right decisions.
Weather Forecasting:
You may have heard how much of a role weather plays in tea harvesting and planting. AI helps with this fact by predicting the best weather times for these tasks. This allows the farmers to plan their operations more accurately with the help of AI.
Processing & Quality Control—
Automated Sorting and Grading:
AI algorithms analyze tea leaves for selecting the best ones based on:
- Color
- Size
- Quality
After this is done, these tea leaves are sorted into different grades, with high speed and accuracy. This is a big help for the tea industry in particular, as product quality is consistently ensured.
Flavor Standardization:
Flavor can also be easily analyzed with the help of AI in the tea industry. These flavor characteristics involve the aroma and the taste of tea, which are important. This analysis is done to monitor and standardize flavor profiles. In different tea batches, consistency matters, and that’s where AI becomes the expert.
Fermentation Monitoring:
The fermentation process gets easier with AI-powered sensors. With AI, real-time monitoring becomes a thing for the tea industry. The fermentation process is controlled with the single goal of optimal yield. It is ensured that the whole process is carried out properly with quality in mind.
Supply Chain & Logistics—
Inventory Management
AI helps predict demand for inventory levels in the tea industry to reduce overall wastage. This serves as a big benefit for the industry, as product availability is ensured.
Logistics Optimization:
For streamlined logistics, AI does the job more easily by analyzing large datasets. Inventory is managed way faster with AI in the tea industry. AI also works to benefit the industry by predicting disruptions in the supply chain.
Conclusion
The usage of AI in the tea industry is actually helping out with most of the tasks, including harvesting. In India, AI is adopted in many of the tea estates. With analysis and prediction, AI is changing the industry for the better.
FAQs
Q – How is AI actually used in Tea?
A – AI has many uses in the tea industry, with one of being analyzing the leaves for:
- Size
- Colour
- Quality
Q – Is it possible for AI to change the tea industry in the future?
A – With the adoption of AI by many tea estates of the world, the future seems bright.
Q – What is the new AI technology in the tea industry?
A – Many AI technologies can be seen being used in the tea industry, including sensors and algorithms.
Q – Is Alexa Tea advanced?
A – Yes, Alexa Tea is an advanced tea brand that uses technology to produce innovative tea.
