The crop recommendation system employing machine learning methods will be covered in this study. For sustainable agricultural practices to be followed and to increase crop yields, crop advice is ...

In the fertilizer recommendation application, users can input their soil data and specify the crop they are growing. The application then analyzes the information to identify any nutrient deficiencies ...

Random data from the dataset for crop recommendation image Crop Recommendation We trained our dataset using four standard machine learning algorithms: Random Forest, Gaussian Naive Bayes, Support ...

The detection of weed seedlings within crop rows at the initial growth stage is considered one of the main challenges in Site-Specific Weed Management (SSWM). In this context, a robust and automatic ...