International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072
Farmer Buddy App
Anagha Powar1 , Vumeshwari Dhotre2 , Siddhi Katkar3 , Shreya Jadhav4 ,Mrs.Smita.S.Jadhav5
1,Student,Computer Engineering
Dr.D.Y.Patil Polytechnic,Kolhapur,India
2Student,Computer Engineering
Dr.D.Y.Patil Polytechnic,Kolhapur,India
3Student,Computer Engineering
Dr.D.Y.Patil Polytechnic,Kolhapur,India
4Student,Computer Engineering
Dr.D.Y.Patil Polytechnic,Kolhapur,India
5Professo,Computer Engineering
Abstract -In the agricultural sector, farmers often face challenges such as lack of timely crop information, unpredictableweatherconditions,improperfertilizerusage, and limited access to market prices. Traditional farming practices depend heavily on experience, which may not always align with modern agricultural needs. To overcome these issues, the Farmer Buddy App is proposedas a mobilebased digital assistant designed to support farmers with real-time agricultural insights. The application provides crop recommendations, fertilizer and irrigation guidance, weather forecasts using Open Weather Map API, daily Mandi price updates, and a cost-profit calculator. The system is developed using Flutter for cross-platform mobile application development and Firebase/MySQL for backend data management. This user-friendly and affordable solution helps farmers make informed decisions, reduce risks, improve productivity, and increase profitability, therebypromotingsmartandsustainablefarmingpractices.
KeyWords: SmartFarming,Flutter,AgricultureApp, Weather Forecast, Mandi Prices, Crop Recommendation,Firebase
1. INTRODUCTION
Agriculture is one of the most important sectors in developing countries, especially in India, where a large portion of the population depends on farming for their livelihood. Despite being a backbone of the economy, many farmers still rely on traditional farming methods and limited sources of information. This makes them vulnerable to problems such as unpredictable weather conditions, improper crop selection, inefficient use of fertilizers and pesticides, and lack of awareness about currentmarketprices.
In recent years, advancements in mobile technology and internet connectivity have opened new opportunities for improving agricultural practices. However, many existing agricultural applications provide only limited features or are difficult for rural farmers to use due to complex interfaces and lack of localized support. As a result, farmersoftendonotreceivetimely,accurate,andpractical guidancerequiredforeffectivedecision-making.
Dr.D.Y.Patil Polytechnic,Kolhapur,Indi
The Farmer Buddy App is proposed as a smart digital assistant designed to support farmers by providing realtimeandreliableagriculturalinformationthroughasingle mobile platform. The application offers features such as crop recommendations, fertilizer and irrigation guidance, real-time weather forecasts using APIs, daily Mandi price updates, and a cost-profit calculator. By integrating modern technologies such as Flutter for mobile app development,cloud-baseddatabases,andAPIservices,the app aims to bridge the gap between traditional farming practicesandsmartdigitalsolutions.
Theuser-friendlydesignoftheFarmerBuddyAppensures easyaccessibilityevenforfarmerswithminimal technical knowledge. This project demonstrates how computer engineering solutions can be effectively applied to solve real-world agricultural challenges, enhance productivity, reduce risks, and contribute to sustainable and profitable farming.
2. Literature Survey
Agriculture has traditionally depended on farmers’ experience, local knowledge, and advice from nearby sources. While these methods have been useful for many years, they lack scientific accuracy and real-time adaptability. As a result, farmers often face issues such as improper crop selection, inefficient fertilizer usage, and vulnerabilitytounpredictableweatherconditions.
In recent years, several agricultural mobile applications have been developed to assist farmers. Applications such as Kisan Suvidha provide weather updates and market prices, while AgroStar focuses on agricultural inputs and advisoryservices.IFFCOKisanoffers expertguidanceand information through mobile platforms. Although these applications are beneficial, they mainly address specific problems and do not provide a complete integrated solution.
Most existing systems lack personalized crop recommendations based on soil and regional conditions. They also do not include proper financial analysis tools such as cost-profit calculators. Additionally, many applicationshavecomplexuserinterfacesthataredifficult forruralfarmerstounderstandanduseeffectively.
Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072
The Farmer Buddy App aims to overcome these limitationsbyprovidinganintegrated,simple,andfarmerfriendly platform that combines crop guidance, weather updates, Mandi prices, and financial planning tools in a singleapplication.
3. Proposed System
The Farmer Buddy App is proposed as an integrated digital platform designed to assist farmers in making informed agricultural decisions. The system combines multiple agricultural services into a single, easy-to-use mobile application, reducing dependency on traditional methodsandexternalintermediaries.
Intheproposedsystem,farmersregisterandlogintothe application using a secure authentication process. After login, the user can access various modules such as crop recommendation, fertilizer and irrigation guidance, weather forecasting, Mandi (market) price updates, and a cost-profit calculator. Farmers can enter relevant details like soil type, crop information, and farming expenses, based on which the system provides suitable recommendations.
Real-time weather information is obtained through the OpenWeatherMap API, which helps farmers plan farming activities and protect crops from adverse climatic conditions. The Mandi price module provides daily updatesofcropprices,enablingfarmerstoselectthebest market2.
Case-Based reasoning (CBR)
Case-Based Reasoning (CBR) is an artificial intelligence approach that solves new problems by referring to previously solved cases stored in a case base. Instead of depending only on predefined rules, the CBR technique comparesthecurrentproblemwithsimilarpastcasesand adaptstheprevioussolutionstofitthenewsituation.This approach is highly suitable for agricultural applications where similar farming conditions and problems occur repeatedlywithslightvariations.
IntheproposedFarmerBuddyApp,Case-BasedReasoning is used to provide intelligent crop and fertilizer recommendations. The system maintains a database containing past farming cases such as soil type, weather conditions, crop selected, fertilizer usage, and yield results. When a farmer enters new input data, the system retrieves the most similar cases from the database. The retrievedsolutionsarethenreusedandadaptedaccording to the current requirements. After implementation, the resultsareevaluatedandstoredasanewcaseinthecase base. This continuous learning process improves the efficiencyandreliabilityofthesystemovertime.
The CBR approach enhances decision-making accuracy, reduces dependency on manual trial-and-error methods, and supports sustainable farming practices by utilizing realagriculturalexperiences.
Table1: ComparisonofCropRecommendation Parameters.
Parameter Wheat Rice Cotton SoilType Loamy Clayey BlackSoil Water
Requirement Medium High Medium
Temperature(0C) 15-25 20-35 25-40
FertilizerType NPK Urea Potash
Chart -1:ComparisonofInvestmentAndExpected Revenue
This Chart represents the comparison between total investment and expected revenue for different crops. It helps farmers analyze profitability using the Cost-Profit CalculatormoduleoftheFarmerBuddyApp.
Fig -1:FarmerBuddy AppSystemOverview
The above figure Represents the overall system overview oftheFarmerBuddyApp.Themobileapplicationinteracts with the backend database and external APIs to provide crop recommendations, weather forecasts. Mandi prices, fertilizer guidance, and cost-profit analysis. The system
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072
ensures real-time data processing and farmer-friendly decisionsupport.
5. ADVANTAGES
•Uses previous experiences to solve new problems, makingthesystemmorepracticalandreliable.
•Reduces the need for complex rule-based programming, assolutionsarederivedfrompastcases.
•Improvesaccuracyovertimebylearningfromnewcases andstoringsuccessfulsolutions.
•Provides faster decision-making by retrieving similar casesinsteadofstartingfromscratch.
• Easily adaptable to real-world applications such as agriculture, medical diagnosis, and recommendation systems.
• Helps in handling incomplete or uncertain data by comparingitwithsimilarpastsituations.
•Supports continuous learning, as new problem-solution pairsareaddedtothecasebase.
• In agriculture, it helps farmers by providing crop and fertilizer recommendations based on previous successful farmingcases.
6. CONCLUSIONS
TheFarmerBuddyAppisdesignedasasmartandfarmerfriendlydigitalassistantthathelpsfarmersmakeinformed agriculturaldecisions.Byintegratingfeaturessuchascrop recommendations, fertilizer and irrigation guidance, realtime weather forecasting, Mandi price updates, and costprofit analysis, the application addresses many of the challenges faced by farmers in traditional farming practices.
TheuseofmoderntechnologiessuchasFlutterformobile application development, cloud-based databases, API integration, and Case Based Reasoning enhances the efficiency and reliability of the system. The application provides timely and relevant information, reduces dependency on middlemen, and supports better planning andriskmanagement.
Overall, the Farmer Buddy App demonstrates how digital solutions can be effectively applied to the agricultural sector to improve productivity, optimize resource utilization, and increase profitability. With future enhancements such as AI-based crop disease detection, IoT sensor integration, and voice-based assistance, the system has the potential to become a comprehensive smart farming solution that contributes to sustainable agriculturaldevelopment.
7.REFERENCES
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