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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
| Date | Stars |
|---|---|
| 2026-07-24 | 495 |
| 2026-07-25 | 495 |
| 2026-07-28 | 494 |
| 2026-07-30 | 494 |
| 2026-07-31 | 494 |
| 2026-08-06 | 495 |
Today
+1 stars today
This week
+1 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.20%/day
# HARVESTIFY 🌿
#### A simple ML and DL based website which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.
#### This project is featured on [Krish Naik's](https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig) YouTube Channel => Check it out [here](https://www.youtube.com/watch?v=zJcSod-L-Ps)
## DISCLAIMER ⚠️
This is a POC(Proof of concept) kind-of project. The data used here comes up with no guarantee from the creator. So, don't use it for making farming decisions. If you do so, the creator is not responsible for anything. However, this project presents the idea that how we can use ML/DL into precision farming if developed at large scale and with authentic and verified data.
## MOTIVATION 💪
- Farming is one of the major sectors that influences a country’s economic growth.
- In country like India, majority of the population is dependent on agriculture for their livelihood. Many new technologies, such as Machine Learning and Deep Learning, are being implemented into agriculture so that it is easier for farmers to grow and maximize their yield.
- In this project, I present a website in which the following applications are implemented; Crop recommendation, Fertilizer recommendation and Plant disease prediction, respectively.
- In the crop recommendation application, the user can provide the soil data from their side and the application will predict which crop should the user grow.
- For the fertilizer recommendation application, the user can input the soil data and the type of crop they are growing, and the application will predict what the soil lacks or has excess of and will recommend improvements.
- For the last application, that is the plant disease prediction application, the user can input an image of a diseased plant leaf, and the application will predict what disease it is and will also give a little background about the disease and suggestions to cure it.
## DATA SOURCE 📊
- [Crop recommendation dataset ](https://www.kaggle.com/atharvaingle/crop-recommendation-dataset) (custom built dataset)
- [Fertilizer suggestion dataset](https://github.com/Gladiator07/Harvestify/blob/master/Data-processed/fertilizer.csv) (custom built dataset)
- [Disease detection dataset](https://www.kaggle.com/vipoooool/new-plant-diseases-dataset)
## Notebooks 📓
##### I have also published the corresponding code on Kaggle Notebooks.
- [Crop Recommendation](https://www.kaggle.com/atharvaingle/what-crop-to-grow)
- [Disease Detection](https://www.kaggle.com/atharvaingle/plant-disease-classification-resnet-99-2)
# Built with 🛠️
<code><img height="30" src="https://raw.githubusercontent.com/github/explore/80688e429a7d4ef2fca1e82350fe8e3517d3494d/topics/python/python.png"></code>
<code><img height="30" src="https://raw.githubusercontent.com/github/explore/80688e429a7d4ef2fca1e82350fe8e3517d3494d/topics/html/html.png"></code>
<code><img height="30" src="https://raw.githubusercontent.com/github/explore/80688e429a7d4ef2fca1e82350fe8e3517d3494d/topics/css/css.png"></code>
<code><img height="30" src="https://raw.githubusercontent.com/github/explore/80688e429a7d4ef2fca1e82350fe8e3517d3494d/topics/javascript/javascript.png"></code>
<code><img height="30" src="https://github.com/tomchen/stack-icons/raw/master/logos/bootstrap.svg"></code>
<code><img height="30" src="https://raw.githubusercontent.com/github/explore/80688e429a7d4ef2fca1e82350fe8e3517d3494d/topics/git/git.png"></code>
<code><img height="30" src="https://symbols.getvecta.com/stencil_80/56_flask.3a79b5a056.jpg"></code>
<code><img height="30" src="https://cdn.iconscout.com/icon/free/png-256/heroku-225989.png"></code>
<code><img height="30" src="https://raw.githubusercontent.com/numpy/numpy/7e7f4adab814b223f7f917369a72757cd28b10cb/branding/icons/numpylogo.svg"></code>
<code><img height="30" src="https://raw.githubusercontent.com/pandas-dev/pandas/761bceb77d44aa63b71dda43ca46e8fd4b9d7422/web/pandas/static/img/pandas.svg"></Excerpt of 9,479 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c4036db1177c3942, topic:deep-learning
matched fp:c4036db1177c3942, topic:computer-vision