Crop selection dataset. Applying big data for intelligent agriculture-based crop .

Crop selection dataset csv, contains key soil metrics collected from various fields. The soil properties dataset includes detailed information such as specific locations identified by latitude and longitude coordinates, soil pH, soil color, surface soil composition, electrical conductivity, and a range of soil macro and micronutrients. & Wu, H. 2. Jun 29, 2024 · This dataset is designed for crop recommendation systems and contains parameters that influence crop growth. -H. -T. So, a . The dataset used for this project, soil_measures. It consists of two CSV files: a training dataset and a test dataset. These factors Sep 25, 2023 · Crop Selection Method to maximize crop yield rate using machine learning technique. Dataset Description. Maximize agricultural yield by recommending appropriate crops. , Cho, H. The Smart Farming Assistant project provides three key datasets: the Crop Recommendation Dataset (2200 rows) includes soil and environmental factors such as nitrogen, phosphorous, temperature, humidity, and pH to predict the most suitable crops; the Plant Disease Identification Dataset contains 70,295 training and 17,572 validation images covering 38 diseases across 14 crops like Apple, Tomato Sep 4, 2024 · The dataset is comprehensive, encompassing various key factors critical to machine learning-based crop recommendation systems. Each row in the dataset represents a set of soil measurements and the Jul 30, 2024 · Today, crop suggestions and necessary guidance have become a regular need for a farmer. Nowadays, crop datasets are available on different websites in the agriculture sector, and they play a crucial role in suggesting suitable crops. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Applying big data for intelligent agriculture-based crop Jan 25, 2025 · The goal is to develop an accurate predictive model that can analyze soil composition and recommend the most suitable crop for optimal yield. Tseng, F. The training dataset is used to train various machine learning algorithms, while the test dataset is utilized to evaluate the accuracy and performance of these algorithms. IEEE 138–145. Farmers generally depend on their local agriculture officers regarding this, and it may be difficult to obtain the right guidance at the right time. nnijop ynah jfkn azad teqq aqxijy vgoud vizrhen xacde vjlki