Banana Ripening Process Dataset and Model

This dataset contains images of the classes below:

• freshripe
• freshunripe
• overripe
• ripe
• rotten
• unripe

Usage

This is an object detection model that can be used to possibly identify where in the Fruit Ripening Process fruit at stores are and when to take them off the shelves and put them in composting.

Raw Fresh Rotten Banana

## Overview

Raw Fresh Rotten Banana is a dataset for classification tasks - it contains Banana annotations for 249 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset presents an assortment of high-resolution images that exhibit six well-known banana varieties procured from two distinct regions in Bangladesh. These bananas were thoughtfully selected from rural orchards and local markets, providing a diverse and comprehensive representation. The dataset serves as a visual reference, offering a thorough portrayal of the distinct characteristics of these banana types, which aids in their precise classification. It encompasses six distinct categories, namely, Shagor, Shabri, Champa, Anaji, Deshi, and Bichi, with a total of 1166 original images and 6000 augmented JPG images. These images were diligently captured during the period from August 01 to August 15, 2023. The dataset includes two variations: one with raw images and the other with augmented images. Each variation is further categorized into six separate folders, each dedicated to a specific banana variety. The images are of non-uniform dimensions and have a resolution of 4608 × 3456 pixels. Due to the high resolution, the initial file size amounted to 4.08 GB. Subsequently, data augmentation techniques were applied, as machine vision deep learning models require a substantial number of images for effective training. Augmentation involves transformations like scaling, shifting, shearing, zooming, and random rotation. Specific augmentation parameters included rotations within a range of 1° to 40°, width and height shifts, zoom range, and shear ranges set at 0.2. As a result, an additional 1000 augmented images were generated from the original images in each category, resulting in a dataset comprising a total of 6000 augmented images (1000 per category) with a data size of 4.73 GB.

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Our general objective is that the dataset proposed here be useful for the development of Machine Learning and Computer Vision algorithms whose central object of analysis is the banana. The images contained here are of bananas from the Prata Catarina cultivar, with labeling of eight classes that represent levels of control of the fruit. For the labeling process, they were labeled via Bounding box, demarcating the banana in the image and assigning it a degree of maturation following the norms proposed in CEAGESP (2006). All 1000 images of bananas were taken using only smartphones. These images were collected on February 4th, 13th and 17th, 2023, with variations of the background on a smooth surface (white marble), on clayey soil or on foliage. Lastly, all data was uploaded to the roboflow platform and labeled using the bounding boxes method.

1) Data Introduction • The Standard Classification (Banana Dataset) dataset consists of two numerical variables and one categorical variable.

2) Data Utilization (1) Standard Classification (Banana Dataset) data has characteristics that: • It consists of three columns and has 5300 pieces. (2) Standard Classification (Banana Dataset) data can be used to: • Model Study: It helps to learn different classification algorithms such as logistic regression, decision tree, random forest, support vector machine, etc.

Here are a few use cases for this project:

1. Grocery Inventory Management: Retailers could use the "Banana" computer vision model to more effectively manage their fruit inventory. The ability to identify Unripe and Ripe Bananas automatically could help optimize sell-through rates and minimize waste.

2. Agricultural Quality Control: Banana farmers and distributors could use this model to analyze the ripeness of their crops. By identifying unripe and ripe bananas, they can better plan their distribution and minimize potential losses.

3. Health and Nutrition Apps: Developers of food tracking or health apps could implement this model to help users identify their banana's ripeness levels. This could be useful for people needing to control their sugar intake as ripeness influences sugar content.

4. Educational Tools: This model could be integrated into educational software or applications teaching about nutrition, agriculture, or biology. The categorization can help students understand various stages of fruit maturation.

5. Augmented Reality Games and Apps: This model could be used in AR games or learning apps where users interact with everyday objects. For example, it could be used to identify bananas and trigger specific interactions or learning experiences.

Real Dataset Banana Images The real dataset developed consists of 3,495 images of Cavendish bananas.

Synthetic Dataset Banana Images The synthetic dataset developed consists of 161,280 images of Cavendish bananas.

The Story of a Banana Peel map journal from the "DCPS Recycles! School Waste Story Map" series. Have you ever wondered how a banana got to your tray? Bananas do not grow in most parts of the US. It takes about one year for a banana that you eat in school to make it to your tray. Where might it have come from? What happens to the banana peel when you discard it? Follow the journey of this banana peel to explore the story of a banana before and after it is eaten.The DCPS Recycles! program is designed to fulfill legal requirements; improve building operations; reduce waste of money and natural resources; achieve the SustainableDC target of zero waste by 2032; and teach DCPS students values and skills for a sustainable 21st century. The goal is to sort all waste properly so as much as possible can be composted or recycled instead of sent to a landfill or incinerator! Agency Website.

Banana Market Outlook

According to our latest research, the global banana market size reached USD 137.2 billion in 2024, and the industry is poised for robust expansion with a projected compound annual growth rate (CAGR) of 4.1% from 2025 to 2033. By the end of the forecast period, the global banana market is anticipated to reach USD 194.5 billion. This growth trajectory is primarily driven by the rising demand for nutritious, affordable, and convenient fruit options across both developed and emerging economies, coupled with the increasing application of bananas in diverse sectors such as food and beverages, pharmaceuticals, and cosmetics.

One of the key growth factors propelling the banana market is the fruit’s widespread acceptance as a staple in daily diets worldwide, owing to its high nutritional value, affordability, and year-round availability. Bananas are rich in essential nutrients such as potassium, vitamin C, and dietary fiber, making them a preferred choice for health-conscious consumers. The growing trend towards plant-based and functional foods is further boosting banana consumption, especially in urban centers where convenience and health benefits are prioritized. Additionally, the versatility of bananas—consumed fresh, processed, or as an ingredient in various products—has significantly expanded their market reach, supporting sustained demand across regions and demographics.

Another significant factor fueling the banana market is the increasing adoption of bananas in processed forms, including banana chips, purees, flours, and beverages. The food and beverage industry is leveraging the unique flavor profile and nutritional attributes of bananas to develop innovative products that cater to evolving consumer preferences. Simultaneously, the pharmaceutical and nutraceutical sectors are exploring banana-derived compounds for their potential health benefits, such as prebiotic properties and antioxidant activity. Moreover, the cosmetic industry is incorporating banana extracts in skincare and haircare formulations, capitalizing on their moisturizing and nourishing properties. These diverse applications are creating new avenues for market growth and value addition.

Technological advancements and improvements in supply chain management have also played a pivotal role in the expansion of the banana market. Enhanced cultivation techniques, better disease management, and efficient logistics have contributed to increased yields and reduced post-harvest losses. The proliferation of organized retail and e-commerce platforms has further facilitated the easy availability of bananas and banana-based products to a broader consumer base. Furthermore, government initiatives supporting sustainable agriculture and fair trade practices are fostering a favorable environment for banana producers, particularly in key exporting countries. These collective efforts are instrumental in meeting the growing global demand while ensuring quality and sustainability.

Regionally, Asia Pacific continues to dominate the global banana market, accounting for the largest share both in terms of production and consumption. Countries such as India, China, and the Philippines are major contributors, leveraging favorable climatic conditions and large-scale cultivation. Latin America, led by Ecuador, Colombia, and Costa Rica, remains the primary exporter of bananas, supplying to North America and Europe, where demand for fresh and processed bananas is steadily rising. The Middle East & Africa region is witnessing increased consumption due to changing dietary patterns and urbanization, while North America and Europe are experiencing growth driven by health and wellness trends. These regional dynamics underscore the global interconnectedness and diverse opportunities within the banana market.

Product Type Analysis

The banana market is broadly segmented by product type into fresh bananas, processed bananas, organic bananas, and conventional bananas. Fresh bananas represent the largest s

Shelf Life Of Banana

## Overview

Shelf Life Of Banana is a dataset for object detection tasks - it contains Banana annotations for 1,595 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The data set represents evaluations of stomata number and size and leaf anatomy parameters. It contains 30 rows and 15 columns. The in vitro plants were grown in a growth chamber room under controlled conditions in Homestead, Florida. The data was collected by a USAID funded graduate student, Cassandre Feuille, at the University of Florida under the supervision of Wagner Vendrame.

The Banana Market report segments the industry into Geography (North America, Europe, Asia-Pacific, South America, Africa). The report includes Production Analysis, Consumption Analysis by Value and Volume, Import Analysis by Value and Volume, Export Analysis by Value and Volume, and Price Trend Analysis. Five years of historical data and five-year forecasts are provided.

Under two conditions—natural ripening and accelerated ripening using calcium carbide—this dataset on "Ripen Banana" explores the many phases of ripening in Musa Sapientum, often known as the Sabri banana. Starting on August 26, 2024, the seven-day controlled experiment collected the data till September 2, 2024. Following Calcium Carbide treatment and at specified times for naturally ripened bananas, we took 1,404 original photos using a phone camera at two-hour intervals. Along with 1,093 naturally ripened bananas, the collection included 311 photos of carbide-treated bananas that attained full ripening by the second day. Moreover, methods of data augmentation were used to attain class balance, producing 2,814 enhanced photos for the naturally ripened batch and 3,596 augmented images for the batch treated with carbide.

Get the latest insights on price movement and trend analysis of Banana in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

This statistic reflects the global banana production by region in 2023. In Asia, some 72.32 million metric tons of bananas were produced in that year.

According to Cognitive Market Research, The Global IFQ Banana Market size will grow at a compound annual growth rate (CAGR) of 7.30% from 2023 to 2030.

The demand for the IFQ Banana Market is rising due to the rising growth of the IFQ banana market's global production and supply.
The expertise in banana cultivation and processing techniques supports the production of high-quality IQF bananas. 
The sliced bananas category held the highest IFQ Banana Market revenue share in 2023.
Europe IFQ Banana will continue to lead, whereas the North American IFQ Banana Market will experience the most substantial growth until 2030.

Seasonal Variability and Climate Change to Provide Viable Market Output

Weather, natural disasters, and climate change can affect banana crops, affecting their quality and quantity. Unexpected weather events such as hurricanes or droughts can disrupt supply chains and cause price fluctuations. Substitutes: the existence of substitutes for frozen fruit or fresh produce can affect the market. Competition from other frozen fruits or substitutes affects the pricing strategy and market positioning of IQF Banana. Government regulations, food safety standards, and compliance requirements affect manufacturing practices, packaging, labeling, and import/export protocols and influence market access and consumer confidence.

For instance, in November 2023, Greenikk, an agriculture startup based in Kerala, India, launched a seamless supply chain that aims to connect banana growers, traders, and exporters on a single platform. The startup has set up Support Centers (SCs) in key banana-producing agricultural regions in the Indian states of Kerala, Tamil Nadu, and Karnataka to support farmers in production and market linkages.

(Source: agritimes.co.in/crops/kharif/ninjacart-introduces-foodprint-to-enable-end-to-end-food-traceability/agri-tech-startup-greenikk-raises-inr-5-crore-in-pre-seed-funding-from-indian-foreign-investors)

Health and Wellness Trends to Propel Market Growth

Innovations in refrigeration technology, packaging technology, and transport systems impact the quality and profitability of IQF's banana production. Advances in freezing technology preserve fruit's texture and nutritional value, making it more attractive to consumers. Economic conditions such as exchange rates, labor costs, and government policies affecting trade and agricultural subsidies play an important role. Exchange rate fluctuations can affect the cost of importing/exporting IQF bananas, affecting price and demand. As consumers become more health conscious, demand for natural, preservative-free, and minimally processed foods such as IQF bananas is on the rise. Marketing strategies that emphasize the health benefits of fruit, such as being a good source of vitamins and potassium, can increase sales.

For instance, in February 2022, Usman Banana Farm, Tayan Banana Farm, and Abay Banana Farm, three companies operating in the Philippines, invested over US$8.7 million in Matanog, Maguindanao province. The investment aims to increase banana production in the city, where the Cavendish and Cardava varieties are mainly grown.

(Source: th.bing.com/th?id=ODLS.46a0a346-0368-44fa-80d5-48e9d27e4dfd&w=32&h=32&qlt=96&pcl=fffffa&o=6&pid=1.2)

Market Dynamics of the IFQ Banana

Seasonal Volatility and Crop Dependency to Restrict Market Growth

The IQF banana market is highly dependent on the availability and quality of the banana crop. Seasonal fluctuations, weather-related issues such as hurricanes or droughts, and natural disasters can impact our reliable supply of raw materials for processing, resulting in production disruptions. Bananas are perishable fruit, which makes it difficult to maintain their quality during processing and transportation. The fragile nature of bananas requires careful handling and quick freezing to preserve flavor, texture, and nutritional value, making the production process more complex and expensive. Frozen products such as IQF bananas require efficient and reliable cold chain logistics to maintain quality. Inadequate infrastructure, transport delays, or cold chain failures can lead to poor quality, threatening sales of IQF bananas. Fluctuations in production costs, including labor, energy, and packaging materials, affect the total cost of producing IQF bananas. Volatility in raw material and energy pri...

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Banana Market Size 2025-2029

The banana market size is forecast to increase by USD 1.53 billion at a CAGR of 10.3% between 2024 and 2029.

The market is driven by the increasing adoption of banana flour in the baking industry, which presents significant opportunities for growth. Banana flour is increasingly used in the production of baked goods, either on its own or in combination with other types of flour. This trend is particularly noticeable in the health-conscious consumer segment, fueling the demand for banana-based products. However, the banana production industry faces challenges that may hinder its growth trajectory. Natural calamities, such as typhoons, frost, and droughts, pose a significant threat to banana crops, leading to production losses and price volatility.
The market experiences dynamic interplays of various factors, shaping its growth trajectory. Food safety standards and consumer research are critical in ensuring product quality and consumer satisfaction. Technological innovations, such as drip irrigation and precision agriculture, enhance farming efficiency and productivity. Environmental impact and waste management practices are crucial concerns, with cold storage facilities and crop rotation techniques employed to minimize food waste. Additionally, investments in research and development to improve banana crop yields and disease resistance can help mitigate the impact of natural calamities and strengthen the market's strategic landscape.

What will be the Size of the Banana Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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Competition analysis reveals intensifying competition, necessitating product differentiation through functional foods and banana-based food products. Pests and diseases pose persistent challenges, necessitating integrated crop management and plant tissue culture. Sustainability certification, climate change mitigation, and international trade agreements are key trends shaping the industry. Banana flour's versatility and nutritional benefits make it an attractive alternative to traditional wheat and rice flour in various food applications, further boosting market growth.
Online advertising and marketing campaigns expand market reach, while data analysis and price elasticity inform strategic decision-making. Technological advancements, including technological innovation, artificial intelligence applications, and bio-based packaging, offer opportunities for a competitive edge. Consumer behavior analysis and fruit quality parameters remain essential in catering to evolving consumer preferences. In 2020, tropical storms and heavy rainfall affected banana production in major growing regions, causing significant disruptions. To mitigate these risks, companies must adopt resilient farming practices and explore alternative production locations to ensure a steady supply of bananas and banana products.

How is this Banana Industry segmented?

The banana industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  Offline
  Online


Type

  In-organic/conventional
  Organic


Form Factor

  Fresh bananas
  Processed bananas


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    China
    Japan


  Rest of World (ROW)

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period. The market is experiencing significant shifts as consumer preferences evolve and technology advances. Integrated pest management practices ensure ethical production, maintaining the industry's sustainability. Banana puree and banana bread continue to gain popularity, fueling innovation in processing techniques. Disease outbreaks and food safety regulations drive the need for advanced post-harvest handling and ripening stages. Digital marketing strategies dominate retail channels, with online retailers and e-commerce platforms driving sales growth. Allergen-free options cater to diverse consumer preferences, while fair trade standards and sustainable sourcing promote ethical business practices. New product development, from banana-based snacks to dried banana products, keeps the market dynamic.

Pricing strategies and international trade agreements influence market volatility, while potassium content and nutritional value remain key selling points. Innovation in processing, from tissue culture propagation to predictive modeling, optimizes yield and reduces the impact of pest infestations and disease outbreaks. Consumer demographics an