Recommending the Crops based on soil type and other environment conditions
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Updated
Jan 10, 2021 - Jupyter Notebook
Recommending the Crops based on soil type and other environment conditions
"Kisaani" is an application that takes required parameters intelligently or from the database of the location (from the cloud) and provides the list of best crops suited for that land. The application should also be able to collect the outcome after cultivation and apply correction as appropriate for further advisories. The details of the crops …
A useful tool which recommends which type of crop to be grown based on certain aspects like Temperature,Humidity,Rainfall,etc among others.
An Intelligent Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. This system is primarily concerned with performing AgroConsultant's principal role, which is to provide crop recommendations to farmers.
A machine learning model in python that recommends the best crop to grow based on Soil composition, Ph level, rainfall and geographical location.
Crop Recommendation is a web application that suggest/recommend the farmer to which crop to grown his/her field.
Crop Recommendation - DAC Project
Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach
A machine learning system that makes crop recommendations based on soil and weather data.
A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a bett…
An application that provides complete assistance to farmers right from sowing to harvesting. Its features include plant disease detection, crop recommendation, real-time API support for environment analysis, detailed crop-cost analysis, buy/sell/rent farming equipment and an interactive farmers' community.
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. This system is primarily concerned with performing Agro Consultant's principal role, which is to provide crop recommendations to farmers.
FastAPI backend for CropFusionAI
Developed a machine learning-based crop prediction model to assist farmers in making informed decisions about crop selection, planting, and harvesting.Integrated weather and geolocation APIs along with a web page for simplified user experience.
AgriCrop is a Crop Recommendation System built on Machine Learning techniques to recommend the best fitted crop for the given condition by the user.
Helping Farmers make informed decisions with Machine Learning ! 👩🌾🚜
This Program is for Prediction of Crop Recommendation based on Rainfall,Humidity,Amount of Potassium and Amount of Nitrogen
A crop recommendation system for the state of Tamil Nadu. Also yield-predictor (approx.) for the recommended crop.
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