Crop Price Viewing
This page describes one of the primary use cases of the Bolbhav app which is the farmers viewing the crop prices across various registered Mandis.
Context
In agricultural economies, farmers often face challenges when selling their crops at mandis due to limited access to real-time mandi prices. Without knowledge of current or historical rates, farmers may inadvertently accept lower prices from buyers, leading to significant financial losses.
Recognising this critical issue, Gramhal, through their application Bolbhav serves as a vital tool in bridging the information gap between farmers and mandis, addressing the prevalent problem of price transparency.
At the forefront of Bolbhav's capabilities is its primary functionality: Crop Price Viewing. This feature empowers farmers by providing them with comprehensive access to real-time and historical crop prices in mandis. By leveraging Bolbhav's Crop Price Viewing feature, farmers can make informed decisions before heading to the mandi, ensuring they receive fair market value for their produce.
On what basis the crops are displayed?
When users access the crop price viewing section, the display of crops is organized to optimize user engagement and relevance. Here's how it works:
For New Users:
Upon entering the crop price viewing section, the crop with the highest number of receipts is automatically selected for new users. This introduces users to popular crops with abundant price data, facilitating their initial exploration of market prices.
Upon revisiting, the selected crop defaults to the one most viewed by the user during their previous session. This personalized selection enhances user experience by highlighting crops of specific interest to the user.
For All Users:
The auto-selected crop for all users is the one most viewed, ensuring that users are presented with crops of ongoing interest and relevance.
Users can manually select any other crop from the dropdown menu, where crops are listed in a random order. This encourages users to explore a variety of crop options beyond the auto-selected one.
Within the dropdown menu, crops are sorted based on specific criteria:
Crops for which the user has enabled notifications are listed first, prioritizing crops of immediate interest to the user.
Following notification-enabled crops, the list includes crops most frequently viewed by the user, further highlighting their relevance.
Finally, crops with recently updated receipts are displayed, ensuring that users have access to the latest market information and encouraging engagement with recently updated data.
Sorting of Mandis
Mandis are sorted based on the highest number of receipts by default. This sorting method ensures that mandis with a larger volume of transactions and price data are prioritized, providing users with access to comprehensive market information.
Additionally, users have the option to sort mandis based on receipts or prices, allowing for a customized viewing experience tailored to their preferences.
Order of Receipts Display
After selecting a mandi, the receipts are sorted based on the most recent transactions by default. This ordering ensures that users have immediate access to the latest price data, allowing them to make informed decisions based on the most current market conditions.
Furthermore, users have the option to sort receipts based on time (latest receipt) or prices, providing flexibility in how they interact with and analyse the available market data.
Why "सरे भाव प्रति क्विंटल" view and what is the logic behind it?
The "सरे भाव प्रति क्विंटल" view, translated as "Price Per Quintal," offers users a comprehensive overview of crop prices grouped into price ranges. This view is specifically designed to enhance users' understanding of mandi's price distributions for the selected crops.
The "सरे भाव प्रति क्विंटल" view is strategically triggered to appear only when the number of receipts for the selected crop exceeds five. This deliberate threshold ensures that the displayed data is statistically significant, enhancing its relevance to users' decision-making processes.
Below is my interpretation of why this section is present, still need Gramhal's perspective
Enhanced Data Interpretation: By grouping receipts into price ranges, users can quickly grasp the distribution of prices within the mandi. This segmentation provides valuable insights into price variations and helps users identify potential selling opportunities or mandi trends.
Optimised User Experience: Presenting data in this format enhances the user experience by simplifying complex information and facilitating quicker decision-making. Users can easily visualise how prices are distributed across different price ranges, aiding them in making informed choices regarding their agricultural transactions.
For the logic refer to the Distribution Table segment within this Chapter.
How does the date filter work?
The date filter functionality in Bolbhav enables users to specify the timeframe for viewing crop prices, allowing them to focus on data relevant to their trading decisions. Here's how the date filter operates:
Selection Options: Users can select a specific date or choose from predefined date ranges, such as today, yesterday, or the past week (7 days).
Real-Time Updates: Bolbhav continually updates its database with the latest market information. Therefore, users can trust that the data presented through the date filter reflects the most current crop prices available.
Impact of Mandi Holidays:
On a date when a mandi observes a holiday, Bolbhav acknowledges this by displaying a note to the user indicating that the "data corresponding to that date is not available". This ensures transparency and prevents users from making decisions based on incomplete or inaccurate information.
Reason Behind Showing Date Ranges for the Past Week?
Bolbhav provides users with date ranges for the past week when viewing crop prices for several reasons:
Trends Analysis: By focusing on the past week's data, users can analyze recent market trends and price fluctuations. This timeframe allows users to identify patterns, seasonal variations, and emerging market trends, empowering them to make informed trading decisions based on up-to-date information.
Data Exposure Restrictions: Bolbhav imposes a restriction on the data displayed beyond a week to ensure data relevance and accuracy. By limiting the timeframe to the past week, Bolbhav can maintain data integrity and mitigate the risk of displaying outdated or irrelevant information. This approach helps users avoid making decisions based on stale data and ensures that the crop price information provided is current and reliable.
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