75 skills found · Page 1 of 3
Gladiator07 / HarvestifyA machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
Dubwise56 / Dubs Bad HygieneAdds a sewage system, toilets, bathing, hygiene related needs and mood effects, central heating, water, irrigation, fertilizer, air conditioning, hot tubs, kitchen sinks, you name it!
atharval1 / Precision Agriculture Using Machine LearningA platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
emclaniyi / ML Precision Agriculture Web AppThis web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification
venugopalkadamba / AgriAI WebAppA React, Flask and Machine Learning based web application for Crop and Fertilizer Recommendation
iamnamananand996 / Smart India Hackathon SIH 2019Problem-Statement: AI for Farmer for Crop and Fertilizer Recommendation, Pest recognition and proper guideline
ravikant-diwakar / AgriSensAI Powered Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.
AnMol12499 / CropcareAIAn AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming
flores / Yet Another Nutrient CalculatorCalculates and charts values of DIY fertilizers for planted aquariums.
TheCodingDad-TisonK / FS25 SoilFertilizerRealistic soil nutrient management for Farming Simulator 25. Track N/P/K, pH, and organic matter per field — with crop-specific depletion, fertilizer replenishment, weather effects, and seasonal cycles.
suvam14das / Smart Farming Fertilizer PredictionFertilizer Prediction using nutrient contents of soil with added automated IoT based smart farming solution.( in collaboration with @hanras97)
simranvolunesia / IrrigreatPrecision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
Ishan-mani / Smart Crop Management SystemFarmify is a Python-based project designed to help farmers with crop disease prediction, crop recommendation, and fertilizer suggestions. It utilizes machine learning models and Flask for web application development.
kaymen99 / AgriGoAI app for crop disease detection and fertilizer recommendation
Blacksujit / ArogyaKrishiArogyaKrishi MVP is an innovative web application crafted to empower farmers with cutting-edge tools for crop disease detection, soil type prediction, and tailored fertilizer recommendations. By harnessing the latest technology, it delivers actionable insights that revolutionize agricultural practices, promoting healthier crops and sustainablity.
Gladiator07 / AI Agriculture DeploymentThis is machine learning and deep learning based website which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.
Lakshan099 / Soil Monitoring And Controlling SystemSoil monitoring and controlling system has been developed to adopt precision agriculture using Wireless Sensor Networks, which enables remote monitoring of soil fertility and other parameters namely soil moisture, NPK and temperature. This data is transmitted to the cloud and the corresponding values are displayed on a mobile application. The proposed system has the intelligence to recommend the quantity of water and fertilizer which improves the quality of the soil and ensures optimum growth of the crop. Web application is used to act as admin panel. The admin can monitor and control all the activities in the farm. In farming, farmers should inspect the work on a daily basis. From this project we hope to bring efficiency to the agricultural space, create a virtuous cycle that makes food production more accessible to consumers, saves farmers time and money, and reduces the environmental impact of farming by bringing sustainability to the process. This project include Arduino System, Mobile Application and Web Application. Used technologies Arduino, Flutter, react js, HTML, Firebase
yousaf2018 / Final Year Project Soil Analysis Using Machine LearningThis project provides a cost-effective solution for Pakistani farmers to assess soil quality and receive fertilizer recommendations using a mobile application.
Febin-T-Rajeev / Soil Crop Fertilizer ML This system predicts and detect soil, crop, fertilizer.....
eragavi / Soil Analysis And Fertilizer Prediction Model For Farmers Using Machine Learning Approach The mobile application predicts the suitable fertilizer for the soil using Naive Bayes Classifier based on the history data sets. The history of datasets gets compared with the resultant value to predict the suitable fertilizer. It also helps in directing the farmers to the nearest soil test center. ● Developed using Android. Fuzzy logic technique has been used to predict the fertility of the soil from the questionnaire answered by the end users
