Solshine/CollegeOfAgricultureAndForestry_Agricultural_Crop_Dataset
Context: This data originally came from the College of Agriculture and Forestry Originally posted to Kaggle by AGRICULTURAL INNOVATIONS with the following description "Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present to you a dataset which would allow the users to build a predictive model to recommend the most suitable crops to grow in a particular farm based on various parameters." Includes recommendations… See the full description on the dataset page: https://huggingface.co/datasets/Solshine/CollegeOfAgricultureAndForestry_Agricultural_Crop_Dataset.
Context: This data originally came from the College of Agriculture and Forestry
Originally posted to Kaggle by AGRICULTURAL INNOVATIONS with the following description "Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present to you a dataset which would allow the users to build a predictive model to recommend the most suitable crops to grow in a particular farm based on various parameters."
Includes recommendations for the following needs of plants: N, P, K, temperature, humidity, ph, rainfall
This may also be useful for training models in reccomending nutrition for crops based on environmental conditions.