Monika Nagar,
Bhanu Verma,
Shweta Shishodia,
Ritik Bajpai,
Tanish Ruhela,
Mohd.Shahwaz,
- Assistant Professor, Department of Computer Science, IMS Engineering College, Uttar Pradesh, India
- Assistant Professor, Department of Computer Science, IMS Engineering College, Uttar Pradesh, India
- Student, Department of Computer Science, IMS Engineering College, Uttar Pradesh, India
- Student, Department of Computer Science, IMS Engineering College, Uttar Pradesh, India
- Student, Department of Computer Science, IMS Engineering College, Uttar Pradesh, India
- Student, Department of Computer Science, IMS Engineering College, Uttar Pradesh, India
Abstract
India’s agricultural sector faces persistent challenges, including limited access to expert guidance, difficulties in managing diverse datasets, unreliable weather forecasting, and a lack of real-time monitoring for farm activities and crop quality. Additionally, farm lenders struggle to obtain accurate insights into farm productivity and risks, hindering their ability to provide tailored financial solutions. The sector also grapples with underemployment among educated professionals, limiting their contributions to agricultural advancement. To tackle these challenges, Kisan Mantra, a web-based platform, integrates machine learning-based weather prediction and connects farmers with skilled human operators who serve as agricultural advisors and technicians. The platform is overseen by an Administrator, ensuring effective management and seamless operation. Kisan Mantra not only enhances farm management efficiency but also fosters knowledge exchange between farmers and experts through interactive tools and data-driven insights. By leveraging artificial intelligence, it predicts crop diseases, optimizes irrigation schedules, and recommends suitable fertilizers based on soil health data. The platform supports decision-making through real-time analytics and promotes transparency in agricultural financing. Furthermore, it empowers rural youth by creating employment opportunities as field technicians and digital support agents. Through its holistic approach, Kisan Mantra bridges the technological gap in Indian agriculture, ensuring sustainability, improved productivity, and resilience against climate and market uncertainties.
Keywords: Farm visualization, weather prediction, centralized system, farmers
[This article belongs to Research & Reviews : Journal of Agricultural Science and Technology ]
Monika Nagar, Bhanu Verma, Shweta Shishodia, Ritik Bajpai, Tanish Ruhela, Mohd.Shahwaz. Kisan Mantra: Enhancing Farmer Productivity, A Web-Based Approach for Efficient Crop Harvesting and Problem Diagnosis. Research & Reviews : Journal of Agricultural Science and Technology. 2025; 14(03):71-87.
Monika Nagar, Bhanu Verma, Shweta Shishodia, Ritik Bajpai, Tanish Ruhela, Mohd.Shahwaz. Kisan Mantra: Enhancing Farmer Productivity, A Web-Based Approach for Efficient Crop Harvesting and Problem Diagnosis. Research & Reviews : Journal of Agricultural Science and Technology. 2025; 14(03):71-87. Available from: https://journals.stmjournals.com/rrjoast/article=2025/view=233929
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| Volume | 14 |
| Issue | 03 |
| Received | 10/09/2025 |
| Accepted | 31/10/2025 |
| Published | 25/11/2025 |
| Publication Time | 76 Days |
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