| Autor: |
Haripriya, K., Chand, Yeluru Vinay, Nallamothu, Bhuvan, Mahadhyut, S., Sumanth, D. Sree, Sangem, Anish |
| Předmět: |
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| Zdroj: |
Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 4, p2963-2969, 7p |
| Abstrakt: |
Smart Farm, an innovative agricultural platform, is at the forefront of revolutionizing traditional farming practices by integrating machine learning, deep learning algorithms, and IoT technologies seamlessly. This trailblazing technology goes above and beyond traditional approaches by properly estimating crop yields and analyzing seed quality, giving farmers critical insights for optimal agricultural planning. Smart-Farm, by leveraging the power of machine learning algorithms, becomes a trustworthy ally for farmers, providing precise and fast information critical for agricultural decision-making. The addition of IoT technology expands its capabilities even further, allowing for real-time soil quality evaluations via strategically positioned sensors in the soil. These sensors monitor crucial characteristics like as moisture levels, nutrient content, and pH levels, allowing farmers to perform targeted soil management using a data-driven approach. This not only optimizes crop farming practices but also increases overall productivity tremendously. The Agriculture Portal, a key component of Smart-Farm, exemplifies agricultural empowerment by empowering farmers to make well-informed decisions that result in better outcomes, thereby creating a more sustainable and efficient approach to contemporary farming. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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