Annapurna
Annapurna
Annapurna
Making farming decisions easier
A farming app that provides real-time insights and tailored guidance on crop health, weather, and market trends. It empowers farmers to make data-driven decisions, optimising resources and maximising yield (ie. profits)
DURATION
7 Days
MEMBERS
2 Members
CONTRIBUTION
UX Research
AI Interaction
Interaction Flowchart
Service Ideation
User Experience
Making farming decisions easier
Making farming decisions easier
A farming app that provides real-time insights and tailored guidance on crop health, weather, and market trends. It empowers farmers to make data-driven decisions, optimising resources and maximising yield (ie. profits)
A farming app that provides real-time insights and tailored guidance on crop health, weather, and market trends. It empowers farmers to make data-driven decisions, optimising resources and maximising yield.
DURATION
DURATION
7 Days
7 Days
MEMBERS
TEAM
2 Members
2 Members
CONTRIBUTION
CONTRIBUTION
UX Research
UX Research
AI Interaction
AI Interaction
Interaction Flowchart
Interaction Flowchart
Service Ideation
Service Ideation
User Experience
User Experience
Farmers in digital India
Farmers in digital India
Farmers in digital India
Secondary research helped us understand exactly which segments of farmers to focus on when proposing a digital solution. Pinpointing who the solution would be catering to helped us set an appropriate context.
Understanding our segments of farmers to focus on when proposing a digital solution. Pinpointing who the solution would be catering to helped us set an appropriate context.
How might we automate different aspects of farming to reduce the load on Indian Farmers
How might we automate different aspects of farming to reduce the load on Indian Farmers
How might we automate different aspects of farming to reduce the load on Indian Farmers
traditional farmers
traditional farmers
Often older, rely on generational knowledge & primarily cultivate staple crops. They have limited formal education & minimal access to modern infrastructure.
Often older, rely on generational knowledge & primarily cultivate staple crops. They have limited formal education & minimal access to modern infrastructure.
Transitional farmers
Transitional farmers
Typically middle-aged, open to experimenting with new crops and methods, with basic education and partial exposure to government schemes or market trends.
Typically middle-aged, open to experimenting with new crops and methods, with basic education and partial exposure to government schemes or market trends.
tech-savvy farmers
Usually younger, educated & financially better positioned to invest in technology. They are aware of market dynamics, sustainability practices, & actively seek innovative solutions for farming challenges.
tech-savvy farmers
Usually younger, educated & financially better positioned to invest in technology. They are aware of market dynamics, sustainability practices, & actively seek innovative solutions for farming challenges.
tech-savvy farmers
Usually younger, educated & financially better positioned to invest in technology. They are aware of market dynamics, sustainability practices, & actively seek innovative solutions for farming challenges.
Personalized digital extension services is positively and significantly associated with input intensity, production diversity, crop productivity, and crop income.
Personalized digital extension services is positively and significantly associated with input intensity, production diversity, crop productivity, and crop income.
Personalized digital extension services is positively and significantly associated with input intensity, production diversity, crop productivity, and crop income.
different Aspects of Farming
Mapping out different aspects of farming where automation solutions become an enabler without replacing the human themselves. These aspects laid out the base for the questions asked when taking interviews and group discussions with farmers and zone in on the scope of the project
Budgeting
Revenue planning
Risk management
Financial sustainability
Expense tracking
Profit optimisation
Monitoring
Harvest Timing
Crop Health
Market Landscape
Crop selection & planting
Pests and Diseases
Weather Alerts
Prediction
Yield Optimization
Crop Nutrients
Market Landscape
Weather Conditions
Crop Planting
Real Problems
Farmers mainly struggled to tackle unpredictable factors and limited access to timely personalised advice, even though they are technically literate.
Ultimately leading to -
Inefficient use of resources
Reduced crop quality
Lower income for farmers.
NO. OF INTERVIEWS
5 Farmers
DURATION
2 Days
*The project is mostly based on insights from secondary research as it wasn’t possible to conduct extensive primary research due to time & location constraints
Real Problems
Farmers mainly struggled to tackle unpredictable factors and limited access to timely personalised advice, even though they are technically literate.
Ultimately leading to -
Inefficient use of resources
Reduced crop quality
Lower income for farmers.
NO. OF INTERVIEWS
5 Farmers
DURATION
2 Days
*The project is mostly based on insights from secondary research as it wasn’t possible to conduct extensive primary research due to time & location constraints
Anita Singh
Anita is trying to grow her business but she’s struggling to get started since this is her first time applying herself on the field, she’s equipped with the technical and theoretical know-how. She needs assistance in understanding the market and current trends.
Transitional Farmers
Age: 35 yrs
Education: Bachelor’s degree in Agriculture
Location: Semi-urban area in Maharashtra, India
Farm Size: 20 Acres
Crops Grown: Sugarcane, Soybean, Vegetables
Social Media Presence
High tech equipment
Tech-savy
Needs
Advanced analytics on crop health and soil conditions
Detailed weather forecasts and climate predictions
market trends, price forecasts, and financial planning tools
Advice on sustainable practices
Challenges
High initial investment in technology and equipment
Keeping up with multiple sources of information
Accessing reliable market and weather information
Goals
Maximize crop yield and quality through precision agriculture
updated with the latest agricultural trends and technologies
Explore new crop varieties and farming techniques
Understand the market needs and demand
Vikram Mehta
Vikram does Polyhouse farming, which means he manages complicated processes and has a lot at stake with his business.
He would save money and resources with assistance with predictive data. He wants to become for efficient as a large scale organisastion.
Tech Savvy Owner
Age: 45yrs
Education: MBA in Agribusiness
Location: Surat Urban, Gujarat, India
Farm Size: 200 Acres
Crops Grown: Cotton, Maize, Pulses
Crop management software
High tech equipment
Tech-savy
Needs
Comprehensive farm management system with data integration
Detailed reports on soil health, crop performance, and resource utilization
Tools for quality control, traceability, and compliance management
Challenges
Coordinating operations across large farm areas
Managing a diverse workforce and multiple supply chains
Ensuring compliance with regulatory standards
Keeping up with volatile market demand and emerging technology
Goals
Optimize large-scale farming operations
Increase profitability and market reach
Ensure quality control and traceability of produce
Implement data-driven decision-making
Management, tracking and predictive system
Existing Digital Solutions for Farmers
Automation solutions for monitoring, prediction & budgeting solutions aren’t functional within India due to many constraints like infrastructure, technical literacy, digital adoption etc.
There aren’t many functional solutions present for Indian farmers for the above parameters. Although there are Govt. schemes and initiatives like National Agriculture Market (eNAM) and Kisan Call Centres, there are no provisions made for real time data analysis and interpretation. First Farmers need to be exposed to simpler technologies and systems before transitioning to advanced digital solutions. Hence, striking a balance between keeping it simple and integrating automation is essential especially when designing for farmers.
Connectivity System
Land of different farmers would be connected to a central hub. Each plot of land would be equipped with the required sensors & equipment (IoT system) needed for the service to work.
The land is then assigned to a profile after mapping out the space and parameters of monitoring
The application would be hosted on a Kiosk, the infrastructure would be built through available Govt. initiatives, schemes and resources. Appointed Personnel that in familiar with the local language would be assigned to help farmers as they come.
The application would be hosted on a Kiosk, the infrastructure would be built through available Govt. initiatives, schemes and resources.
Appointed Personnel that in familiar with the local language would be assigned to help farmers as they come.
Keeping in mind the use of AI, elements of disclosure and manual control of the data collected has also been considered when designing the user flows and UI
Service Flow
Farmer-Service Interaction
Creating an AI algorithm helped us map out the user flow and the how the AI interactions would take place in a glance.
The User flow helps map out how the each aspect of Annapurna are connected and interacting with one another. An overview approach was taken when designing the flow to give a more summarized and birdseye view of the solution, detailing of the process was done in the flowchart above.
How would it look to the farmer?
How would it look to the farmer?
Home Screen
Personalised dashboard, real-time updates, and quick access to key features like plot division, crop(s) cycle, crop(s) health, weather forecasts, marker value and financial tools, ensuring seamless navigation for farmers.
Step by step intro
A step by step walk through when on boarding to make it feel less intimidating, this would help the farmer get familiar with the application
field analysis
Leverage soil data to receive AI-driven crop suggestions for maximum profitability. Use the custom option to check the viability of your chosen crops, ensuring informed decisions and optimal results.
yield budgeting
Enter your budget to get an AI-generated cost breakdown for seeds, fertilisers, irrigation, labor, and more, ensuring efficient resource allocation for maximum yield.
pest analysis
Upload or capture a picture to identify pests using AI-powered image recognition and deep learning algorithms. Get tailored removal methods and prevention tips for effective pest management.
Market Analysis
Live market value of your crops will be displayed which helps you understand your expenditure and profit/loss which might be caused.
feasibility constraints
Internet Connectivity
(Technology infrastructure)
Farming areas in India often have limited or unreliable internet access, which can hinder the real-time data exchange necessary for the app.
Language Diversity
(Language)
Indian having numerous regional languages, the moderator needs to have knowledge of the colloquial language to be able to guide them appropriately
Trust in Technology
(Cultural)
Farmers may be hesitant to trust new technology, preferring traditional farming methods.
Hence, AI models need to be trained on diverse datasets to ensure accuracy and reliability in various conditions.
Note: The UI is designed as a way to show to the features of the product, it would need to be changed after understanding how Indian farmers perceive interface and their mental models. Due to certain constraints we were not able to do so in the current UI.
keep learning
Working on such a specific domain like Human-Centric AI in Agriculture has got the team to understand and appreciate the different types of affordances the UI requires when integrating AI into the user flow
One of the biggest challenges was - how do you make this solution user friendly and intuitive while integrating AI, to such an unexposed audience (farmers), without replacing the HUMAN
We tackled this to some degree by creating an IoT based system that includes a moderator. The project remains vague in the feasibility aspect as we weren’t able to conduct user testing of the solution with the user groups, keeping in mind the timeline and scope of the project. This was a well collaborated project tried in a domain the team is passionate about.
different Aspects of Farming
Mapping out different aspects of farming where automation solutions become an enabler without replacing the human themselves. These aspects laid out the base for the questions asked when taking interviews and group discussions with farmers and zone in on the scope of the project
Real Problems
Farmers mainly struggled to tackle unpredictable factors and limited access to timely personalised advice, even though they are technically literate.
Ultimately leading to -
Inefficient use of resources
Reduced crop quality
Lower income for farmers.
NO. OF INTERVIEWS
5 Farmers
DURATION
2 Days
*The project is mostly based on insights from secondary research as it wasn’t possible to conduct extensive primary research due to time & location constraints
Existing Digital Solutions for Farmers
Automation solutions for monitoring, prediction & budgeting solutions aren’t functional within India due to many constraints like infrastructure, technical literacy, digital adoption etc.
There aren’t many functional solutions present for Indian farmers for the above parameters. Although there are Govt. schemes and initiatives like National Agriculture Market (eNAM) and Kisan Call Centres, there are no provisions made for real time data analysis and interpretation. First Farmers need to be exposed to simpler technologies and systems before transitioning to advanced digital solutions. Hence, striking a balance between keeping it simple and integrating automation is essential especially when designing for farmers.
Connectivity System
The land is then assigned to a profile after mapping out the space and parameters of monitoring
The application would be hosted on a Kiosk, the infrastructure would be built through available Govt. initiatives, schemes and resources. Appointed Personnel that in familiar with the local language would be assigned to help farmers as they come.
Keeping in mind the use of AI, elements of disclosure and manual control of the data collected has also been considered when designing the user flows and UI
Land of different farmers would be connected to a central hub. Each plot of land would be equipped with the required sensors & equipment (IoT system) needed for the service to work.
Service Flow
Farmer-Service Interaction
Creating an AI algorithm helped us map out the user flow and the how the AI interactions would take place in a glance.
The User flow helps map out how the each aspect of Annapurna are connected and interacting with one another. An overview approach was taken when designing the flow to give a more summarized and birdseye view of the solution, detailing of the process was done in the flowchart above.
How would it look to the farmer?
Home Screen
Personalised dashboard, real-time updates, and quick access to key features like plot division, crop(s) cycle, crop(s) health, weather forecasts, marker value and financial tools, ensuring seamless navigation for farmers.
Step by Step Intro
A step by step walk through when on boarding to make it feel less intimidating, this would help the farmer get familiar with the application
Field Analysis
Leverage soil data to receive AI-driven crop suggestions for maximum profitability. Use the custom option to check the viability of your chosen crops, ensuring informed decisions and optimal results.
Yield Budgeting
Enter your budget to get an AI-generated cost breakdown for seeds, fertilisers, irrigation, labor, and more, ensuring efficient resource allocation for maximum yield.
Pest Analysis
Upload or capture a picture to identify pests using AI-powered image recognition and deep learning algorithms. Get tailored removal methods and prevention tips for effective pest management.
Market Analysis
Live market value of your crops will be displayed which helps you understand your expenditure and profit/loss which might be caused.
feasibility constraints
Internet Connectivity
(Technology infrastructure)
Farming areas in India often have limited or unreliable internet access, which can hinder the real-time data exchange necessary for the app.
Language Diversity
(Language)
Indian having numerous regional languages, the moderator needs to have knowledge of the colloquial language to be able to guide them appropriately
Trust in Technology
(Cultural)
Farmers may be hesitant to trust new technology, preferring traditional farming methods.
Hence, AI models need to be trained on diverse datasets to ensure accuracy and reliability in various conditions.
Note: The UI is designed as a way to show to the features of the product, changes after understanding how Indian farmers perceive interface and their mental models. Due to certain constraints we were not able to do so in the current UI.
keep learning
Working on such a specific domain like Human-Centric AI in Agriculture has got the team to understand and appreciate the different types of affordances the UI requires when integrating AI into the user flow
One of the biggest challenges was - how do you make this solution user friendly and intuitive while integrating AI, to such an unexposed audience (farmers), without replacing the HUMAN
We tackled this to some degree by creating an IoT based system that includes a moderator. The project remains vague in the feasibility aspect as we weren’t able to conduct user testing of the solution with the user groups, keeping in mind the timeline and scope of the project. This was a well collaborated project tried in a domain the team is passionate about.
Budgeting
Revenue planning
Risk management
Financial sustainability
Expense tracking
Profit optimisation
Monitoring
Harvest Timing
Crop Health
Market Landscape
Crop selection & planting
Pests and Diseases
Weather Alerts
Prediction
Yield Optimization
Crop Nutrients
Market Landscape
Weather Conditions
Crop Planting
Let’s Walk and Talk?
Aarhi Das
My inbox is always open
Whether you're here to talk design, swap movie recommendations, or just say hi
Let’s make waves together :)
Contact
+91 7022472736
Copyright© 2025 Aarhi. All Rights Reserved.
Let’s Walk and Talk?
Aarhi Das
My inbox is always open
Whether you're here to talk design, swap movie recommendations, or just say hi
Let’s make waves together :)
Contact
+91 7022472736
Copyright© 2025 Aarhi. All Rights Reserved.