Aspiring Data Analyst with a background in Artificial Intelligence and Machine Learning, skilled in tools such as Excel, Power BI, SQL, and Tableau. I possess a basic understanding of Data Science concepts including data…
Aspiring Data Analyst with a background in Artificial Intelligence and Machine Learning, skilled in tools such as Excel, Power BI, SQL, and Tableau. I possess a basic understanding of Data Science concepts including data preprocessing, visualization, and simple machine learning models. I aim to apply my analytical skills to data-driven projects and grow into a proficient data professional.
It recommends you crop on the basis of the rain, temperature, climatic conditions etc. The Crop Recommendation System is a Machine Learning–based project designed to assist farmers in selecting the most suitable crop for cultivation based on environmental and soil conditions. The system analyzes important agricultural parameters such as soil nutrients (Nitrogen, Phosphorus, and Potassium), temperature, humidity, soil pH, and rainfall to recommend the best crop to grow in a particular region. The dataset used for this project contains multiple crop records along with their corresponding environmental conditions.Various machine learning algorithms were explored to build the model, and the best-performing algorithm was selected based on accuracy and prediction performance. The model was trained and evaluated using Python libraries such as NumPy, Pandas, and Scikit-learn. After training, the system takes user input for soil and climate parameters and predicts the most suitable crop.This project demonstrates how data-driven approaches can support smart agriculture by helping farmers make informed decisions, improve crop yield, and reduce the risk of crop failure. It highlights the practical application of machine learning in modern agricultural systems
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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