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The Ultimate Farming Guide with Real-Time Insights and Recommendations
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 30 October 2024
Abstract
As India transitions into a more digitalized era, it is crucial for the agricultural sector to evolve and embrace smarter practices. Farmers require an intelligent system that can not only recommend appropriate crops and their varieties but also provide precise scheduling strategies to maximize crop yield. To achieve the best results, factors such as soil moisture levels, land fertility, and climatic conditions must be considered for identifying optimal crop varieties suited to a particular region. Our system leverages historical data on crop production, as well as the time required for crop maturation, to offer highly accurate crop and variety suggestions. In addition to crop selection, this system emphasizes fertilizer management by recommending the most suitable fertilizers for specific crops. It provides detailed guidance on the proper schedule and quantity of fertilizer application to enhance crop growth. By utilizing advanced machine learning algorithms such as Gradient Boosting (GB), Support Vector Machine (SVM), Random Forest Regressor (RF) and Linear Regression (LR), the system is capable of delivering data-driven recommendations for optimal crop varieties and fertilizers. Moreover, this system incorporates an automated irrigation management feature, utilizing IoT technology to monitor soil moisture and regulate water supply accordingly. The integration of IoT ensures that irrigation is carried out efficiently, reducing water wastage and promoting healthy crop growth. Through this combination of machine learning algorithms and IoT-enabled automation, the system provides farmers with a comprehensive tool for boosting agricultural productivity and sustainability.
Patent Information
Application ID | 202421083548 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 30/10/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Prema Bhushan Sahane | M504, Swaraj Society, Moshi Chikhali Road, Moshi, Pune | India | India |
Nivedita Shimbre. | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Pavan Kulkarni | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Shrutika Amzire | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Arya Ganorkar | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Pawan Bondre | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Prema Bhushan Sahane | M504, Swaraj Society, Moshi Chikhali Road, Moshi, Pune | India | India |
Nivedita Shimbre. | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Pavan Kulkarni | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Shrutika Amzire | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Arya Ganorkar | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Pawan Bondre | JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pimpri-Chinchwad, Maharashtra | India | India |
Specification
Description:Key Feature:
- Crop Varieties Selection: Farmers often face challenges when deciding which crop variety to grow, as each type has unique requirements in terms of water usage, growing time, and climate conditions. This system helps simplify that process by analyzing key factors such as water needs, growth duration, and historical production data to suggest the most appropriate crop variety. By offering this tailored recommendation, farmers can improve their yield and make informed decisions, reducing the guesswork in selecting varieties. This leads to better resource management and, ultimately, higher profits.
- Live Information Updates: One of the standout features of this platform is its ability to deliver real-time updates directly to the farmer. By gathering data from weather stations, soil sensors, and market prices, the system provides timely alerts and insights. These updates cover crucial areas like changes in weather conditions, potential pest threats, irrigation timings, and market trends. With this continuous flow of information, farmers are better equipped to take quick and effective actions, which helps them safeguard their crops and maximize financial returns.
- Smart Scheduling and Tips: The platform also includes a scheduling function that supports farmers throughout the entire growing process, from planting to harvesting. For each stage-whether it's sowing, fertilizing, watering, or protecting against pests the system offers helpful tips that are tailored to current conditions. The schedule adjusts in real-time based on factors like weather and soil conditions, making sure farmers can perform each task at the ideal moment. This intelligent scheduling results in better-managed crops and more efficient use of time and resources.
Comprehensive Farming Solution: This system brings together several essential farming tools into a single, integrated platform. Beyond recommending suitable crops and their varieties, it also provides recommendations for fertilizer based on soil and crop type. The smart irrigation feature monitors soil moisture levels and adjusts water usage based on climate data, ensuring the suitable timing and quantity of water is applied to crops. By integrating these functionalities crop selection, fertilizer guidance, and automated irrigation this platform helps farmers save on costs, reduce waste, and increase overall sustainability.
, Claims:1. Crop Varieties Selection Based on Historical Data: The system provides tailored recommendations for selecting crop varieties by analyzing factors such as water usage, growth duration, climate conditions, and historical production data. This intelligent analysis enables farmers to choose the best-suited crop varieties, thereby improving yields, enhancing resource management, and increasing profits.
2. Real-Time Information Updates: The platform integrates real-time data from weather stations, soil sensors, and market trends to deliver timely updates to farmers. These updates cover weather conditions, pest threats, irrigation schedules, and market prices, helping farmers make quick and informed decisions, ultimately safeguarding crops and maximizing financial returns.
3. Smart Scheduling and Task Management: The system features a dynamic scheduling tool that adjusts farming tasks like sowing, fertilizing, and irrigation based on real-time weather and soil conditions. This intelligent task management ensures that actions are performed at the optimal time, boosting crop health and ensuring efficient use of resources.
4. Integrated Smart Irrigation System with Sensors and Arduino: By integrating sensors and Arduino technology, the system automates irrigation processes. It monitors soil moisture levels and adjusts water usage based on climatic data, ensuring precise water management. This reduces wastage and enhances crop health by delivering the right amount of water when needed.
5. Comprehensive Farming Solution: The platform brings together crop selection, fertilizer recommendations, and smart irrigation into a unified solution. By offering a seamless combination of these features, it helps farmers cut costs, minimize resource waste, and improve sustainability, providing a complete farming management tool.
Documents
Name | Date |
---|---|
Abstract.jpg | 26/11/2024 |
202421083548-COMPLETE SPECIFICATION [30-10-2024(online)].pdf | 30/10/2024 |
202421083548-DECLARATION OF INVENTORSHIP (FORM 5) [30-10-2024(online)].pdf | 30/10/2024 |
202421083548-DRAWINGS [30-10-2024(online)].pdf | 30/10/2024 |
202421083548-FORM 1 [30-10-2024(online)].pdf | 30/10/2024 |
202421083548-FORM-9 [30-10-2024(online)].pdf | 30/10/2024 |
202421083548-REQUEST FOR EARLY PUBLICATION(FORM-9) [30-10-2024(online)].pdf | 30/10/2024 |
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