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dc.contributor.author | Sumera Sajid, 01-134201-084 | |
dc.contributor.author | Malaika Noor, 01-134201-039 | |
dc.date.accessioned | 2024-02-20T05:45:39Z | |
dc.date.available | 2024-02-20T05:45:39Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/123456789/16941 | |
dc.description | Supervised by Mr. Mehroz Sadiq | en_US |
dc.description.abstract | In the vast landscape of agriculture, a fundamental industry that sustains the global population and supports the livelihoods of millions, our project emerges as a beacon of innovation. At its core, our endeavor is to create an integrated system that helps the precision of farming practices with modern technology. A soil sensor seamlessly integrated with a mobile application. Our vision is to empower farmers by providing them with a comprehensive solution for optimizing their soil health and enhancing productivity. Incorporating cutting-edge technology and harnessing the predictive power of the Random Forest algorithm, which has demonstrated an accuracy of 88 percent on a dataset comprising 200,000 rows of crops, our project stands at the forefront of agricultural innovation. By surmounting the limitations inherent in traditional agricultural methods, our solution provides farmers with instant, data-driven insights. This transformative approach revolutionizes crop management, ushering in an era of sustainable agricultural practices. By contributing to global food security and environmental sustainability, our project not only enhances the lives of individual farmers but also plays a pivotal role in shaping the future of agriculture on a global scale. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences | en_US |
dc.relation.ispartofseries | BS(CS);P-02085 | |
dc.subject | Smart | en_US |
dc.subject | Soil | en_US |
dc.subject | Analyzer | en_US |
dc.title | Smart Soil Analyzer | en_US |
dc.type | Project Reports | en_US |