SustainableAgriculture

Afternoon Tea with KisStartup: The Circular Journey of Pineapple

The pineapple plant, much like rice in the history of Vietnamese agriculture, is a paradoxical entity: so familiar that we think we fully understand it, yet constantly confronted with new questions shaped by each era. In the past, the key challenges of pineapple were yield and fresh-fruit markets. Today, the question has expanded: how can every part of the plant—from fruit, peel, core, stem to leaves—be integrated into a value-creating cycle that reduces emissions and regenerates the soil? Globally, answers are gradually taking shape through increasingly diverse processing and biotechnological solutions, forming a clear picture of a circular economy built around pineapple [1].

From upgraded traditional processing to high-value biotechnology

Pineapple processing technologies today span a broad spectrum. At one end are “upgraded traditional” technologies familiar to Vietnam’s agro-processing sector, such as juice, canned pineapple, and dried products. At the other end lie biotechnology, materials, and energy applications—where pineapple is no longer just a fruit, but a feedstock for enzymes, biopolymers, fuels, and novel materials [1].

In fruit processing—the primary product—industrial juice, nectar, and beverage lines have been standardized. A typical process includes grading, washing, peeling, coring, pressing, filtration, Brix and acidity standardization, followed by rapid pasteurization at around 80 °C before bottling or canning. Precise control of temperature and time is critical to preserving pineapple’s natural flavor and color [2]. At a higher level, spray-drying technology converts pineapple juice into instant powder, extending shelf life, reducing logistics costs, and enabling applications in functional foods and instant beverages [3].

For canned and dried pineapple, technological improvements now focus more on quality than volume. Modern canning lines employ vacuum sealing, precise seaming, and pasteurization at 90–95 °C under tightly controlled conditions to ensure food safety while maintaining fruit texture [4]. In drying, combining methods such as low-temperature drying or pulsed electric field (PEF) pretreatment has been shown to shorten drying time, reduce nutrient loss, and better preserve natural color compared to conventional hot-air drying [5].

When by-products become the center of innovation

The real breakthrough of pineapple-based circular economy lies in reimagining by-products not as “waste,” but as the core of technological innovation. Pineapple peel, core, stem, and crown are rich sources of bromelain—an enzyme with high value in food, biomedical, and cosmetic applications. Modern extraction processes prioritize “green” methods, using mechanical grinding with water or buffer solutions, followed by purification via ultrafiltration membranes, dialysis, and concentration. Final products are often freeze-dried to preserve enzyme activity without organic solvents [6]. Some studies report bromelain recovery yields of up to 96.5%, with enzyme activity suitable for food and pharmaceutical applications [7].

Beyond enzymes, pectin, polyphenols, and antioxidants from pineapple peel are increasingly extracted using advanced techniques. Microwave-assisted pectin extraction significantly shortens processing time, improves yield, and enhances molecular structure compared to conventional heating. Other green extraction methods—such as ultrasound, deep eutectic solvents, or supercritical CO₂—enable high-purity recovery of aromatic and bioactive compounds for premium cosmetics and functional foods [8], [9].

Pineapple as a feedstock for bioenergy and biochemicals

At a systems level, many studies and pilot models approach pineapple through a biorefinery lens. Pineapple residues rich in sugars and cellulose can be pretreated, hydrolyzed, and co-fermented to produce bioethanol, integrated with enzyme extraction streams within the same facility. Beyond ethanol, fermentation processes can yield lactic acid, citric acid, xylitol, or liquid biofertilizers—maximizing value extraction from a single biomass stream [10], [11].

Residual biomass after extraction and fermentation can be further processed via anaerobic digestion to produce biogas, or pyrolyzed to create biochar. Biochar derived from pineapple residues, when applied to soil or compost, has been shown to enhance nutrient retention, improve soil structure, and contribute to carbon emission reduction in agriculture [11], [12].

Leaf fiber and materials: where agriculture meets fashion

One of the most visible symbols of pineapple-based circular economy is pineapple leaf fiber (PALF). After harvest, pineapple leaves are processed using decortication machines, then washed, degummed, and transformed into fibers or nonwoven fabrics. PALF has high mechanical strength, making it suitable for textiles and polymer-reinforced composites [1].

Building on this foundation, pineapple-leaf “leather” materials such as Piñatex have brought agricultural by-products into global fashion value chains. The process involves producing nonwoven fabrics from pineapple fibers, then coating them with water-based or bio-based polymers to create leather-like surfaces used in shoes, bags, and accessories. What stands out is not only the material itself, but the way this model connects farmers, material producers, and consumer brands into a low-emission value chain [13].

Implications for Vietnamese startups: technology cannot stand alone

From KisStartup’s perspective, the challenge is not whether Vietnam has access to these technologies, but how to connect them into viable business models. A single startup or cooperative cannot realistically produce enzymes, materials, and energy simultaneously—but it can play a strategic role within one link of a circular ecosystem. The key lies in designing material flows and cash flows so that the by-product of one process becomes the input of another.

In the context of green transition and increasingly stringent emission-reduction requirements, pineapple may follow a path similar to rice: from food security, to export value, and ultimately to a “green” narrative—measurable emissions, verifiable life-cycle impacts, and tangible contributions to soil regeneration. Technology is essential, but it only realizes its full potential when embedded in circular economic thinking, where nature, people, and markets are connected within a sustainable ecosystem.

© Copyright belongs to KisStartup. Any reproduction, citation, or reuse must clearly credit KisStartup.

References (IEEE)
[1] S. R. et al., “Current status, challenges and valorization strategies of pineapple processing waste management,” Sustainable Resources Review, 2023.
 [2] Rwanda Agriculture Board, “Pineapple juice processing,” 2020.
 [3] P. K. et al., “Spray drying of pineapple juice,” Chiang Mai Journal of Science, 2019.
 [4] DOST-ITDI, “Pineapple processing technology,” 2018.
 [5] OptiCept, “Harnessing pulsed electric field technology in pineapple drying,” 2022.
 [6] A. et al., “Green extraction of bromelain from pineapple waste,” Food Chemistry, 2024.
 [7] C. et al., “Membrane purification of bromelain,” Chemical Engineering Transactions, 2023.
 [8] M. et al., “Microwave-assisted extraction of pectin from pineapple peel,” Carpathian Journal of Chemistry, 2017.
 [9] L. et al., “Green extraction technologies for bioactive compounds,” Journal of Cleaner Production, 2025.
 [10] J. et al., “Integrated biorefinery for pineapple waste,” Journal of Cleaner Production, 2017.
 [11] IJSRBP, “Valorization of pineapple waste into bioenergy and biofertilizer,” 2025.
 [12] Frontiers in Agronomy, “Biochar from agricultural residues,” 2024.
 [13] Design Life-Cycle, “Piñatex: pineapple leaf fiber leather,” 2020.

Author: 
KisStartup

Data – The Key to Green Transformation in Agriculture

In the green transition of agriculture, data is no longer just a collection of stored numbers - it has become the operating foundation that helps businesses enhance production efficiency, reduce emissions, ensure supply chain transparency, and attract green investment. Recent statistics and studies confirm that systematic data management and utilization are key to sustainable agricultural development - especially in the coffee sector - enabling compliance with increasingly stringent international standards.

A study conducted in China using data from 31 provinces between 2013 and 2020 showed that digital transformation in agriculture, driven by 5G, Artificial Intelligence (AI), and the Internet of Things (IoT), has significantly contributed to carbon emission reduction. Notably, the application of data not only has a direct impact but also generates a ripple effect - spreading green technologies and accelerating large-scale greenhouse gas reductions. Similarly, reports by the OECD and World Bank highlight that digital data infrastructure in agriculture has helped countries save resources and reduce the use of fertilizers and pesticides through improved weather forecasting and stricter traceability management.

In Europe, a report from Denmark affirmed that building large agricultural databases not only serves production but also supports enterprises in planning green transition policies, conducting environmental audits, and implementing CO₂ reduction procedures. These data systems are further utilized to develop circular production models, thereby strengthening sustainable competitive advantages.

In Vietnam, the architecture for digital agricultural data infrastructure is gradually taking shape, linking nearly nine million farming households with enterprises. This connection helps overcome the challenges of small-scale production and establishes the foundation for green value chains, where data is considered a “raw material” for all stages - from cultivation and processing to distribution. The UNDP’s Green Agriculture Center is also working to integrate and harmonize data sources, serving both digital and green transformation goals simultaneously.

A crucial highlight is the “four-party data linkage model” - involving government, research institutes, enterprises, and farmers - which is considered a core solution. When data among stakeholders is synchronized and transparent, businesses can more easily access green finance, implement energy-saving projects, and develop environmentally friendly production. In other words, data not only enables smart farming management but also becomes a “passport” to green investment and international markets.

For the coffee industry, data plays an especially vital role as the EU’s deforestation-free regulation (EUDR) is set to take effect soon. By utilizing cadastral maps, traceable cultivation area data, and production information, businesses can prove that their coffee is not grown on deforested land and can better control emissions across the entire value chain. Furthermore, the application of sensors, remote sensing, and big data analytics helps forecast pest outbreaks, optimize irrigation, mitigate disaster risks, and improve coffee bean quality.

Beyond environmental aspects, data also directly impacts economic and social dimensions. Accurate recording of productivity, market prices, household income, and participation in digital training enables enterprises and cooperatives to design long-term strategies while improving community welfare. Transparent data also strengthens corporate social responsibility and builds trust among global consumers.

Example: Green Transformation in the Coffee Sector
 

Content Type of Data to Be Collected Benefits
Monitoring cultivation areas & traceability Mapping of cultivation zones, farm boundaries, farmer information     Demonstrates coffee is not grown on deforested land, complies with “deforestation-free” regulations, and ensures full traceability to each household
Environmental impact assessment Data on fertilizer, pesticide, irrigation water, emissions from processing Identifies high-emission stages to adjust practices: reduce chemical fertilizer use, save water, and cut emissions
Digitalization & smart farming Data from sensors,satellites, and automation tools Predicts droughts and pest outbreaks; enables precise irrigation management; reduces costs, protects the environment, and improves bean quality
Income & livelihood improvement Data on yield, quality, and market prices Helps farmers select effective crop varieties and techniques; supports enterprises in stable export planning
Compliance & market access Transparent production and supply chain data Meets green trade barriers in the EU and U.S.; transparent, certified coffee earns higher market value

How Can Enterprises and Farmers Collect Data?

  • Surveys combined with digital technology
    Use smartphones to capture GPS coordinates of farms, IoT sensors to measure soil moisture, and satellite or GIS maps to define growing areas.
  • Public–private data-sharing systems
    Connect databases among government, cooperatives, and enterprises to avoid duplication, ensure transparency, and simplify verification processes.
  • Farmer training
    Guide farmers in basic record-keeping: fertilizer application dates, irrigation volumes, harvest yields, etc. These records can be entered into simple mobile apps.
  • International research collaboration
    Businesses can join international projects applying Life Cycle Assessment (LCA) or big data analytics to develop in-depth carbon reports for clients.

Key Data to Collect
To measure the effectiveness of green transformation, businesses should focus on three main groups of indicators:
1. Environmental

  • Area of cultivation meeting green standards (Organic, VietGAP, 4C, RA…).
  • Amount of fertilizer, pesticide, and irrigation water used.
  • Greenhouse gas emissions (CO₂eq per kg of coffee).
  • Waste, wastewater, and biodiversity management (shade trees, forest cover).

2. Economic – Product Quality

  • Yield per hectare.
  • Value of certified coffee (organic, specialty).
  • Percentage of certified and exported coffee.
  • Input costs and profit per hectare.
  • Bean quality indicators: moisture, density, defect rate.

3. Social – Traceability

  • Farmer income and welfare.
  • Percentage of farmers trained in digital and green practices.
  • Transparent traceability: household, plot, and process level.
  • Percentage of reinvestment in environment and community.

For coffee enterprises, data is not a distant concept - it is the key to unlocking international markets. Collecting data today enables:

  • Farmers to increase productivity and profitability.
  • Businesses to ensure transparent processes and easier compliance with global standards.
  • Vietnam’s coffee industry to enhance competitiveness and sustainable value.

Agricultural enterprises should regard data as a pillar of their green growth strategy. When data is properly collected, analyzed, and utilized, businesses not only achieve emission reduction goals but also gain access to demanding markets, attract green credit, and elevate the reputation of Vietnamese agricultural products on the global stage.

© Copyright by KisStartup. Any reproduction, quotation, or reuse must clearly cite the author and source “KisStartup.”

Author: 
Nguyễn Đặng Tuấn Minh - KisStartup