Abstract
This AI solution addresses the challenges faced by farmers in optimizing crop selection based on soil quality parameters, specifically Nitrogen (N), Phosphorus (P), and Potassium (K), commonly known as NPK. The system integrates additional environmental factors such as temperature, humidity, and rainfall to provide a comprehensive analysis for informed decision-making in agriculture. By leveraging machine learning algorithms, the AI model analyzes historical and real-time data to assess the soil composition and environmental conditions, offering insights into the most suitable crops for cultivation. The target variable of this solution is the recommended crop for planting, taking into account the optimal NPK levels and environmental factors. This innovative approach empowers farmers with personalized recommendations, enhancing crop yield and sustainability while minimizing resource input. The AI solution serves as a valuable tool in modernizing agricultural practices, fostering efficiency, and contributing to the overall well-being of the farming community.
Citations
IRE Journals:
Ashok D S , C Venkateswara Reddy , R D Aditya , TDV Karthik , Prof P Peniel John Whistly
"AI Solution for Farmers" Iconic Research And Engineering Journals Volume 7 Issue 7 2024 Page 139-143
IEEE:
Ashok D S , C Venkateswara Reddy , R D Aditya , TDV Karthik , Prof P Peniel John Whistly
"AI Solution for Farmers" Iconic Research And Engineering Journals, 7(7)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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