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https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-
Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.
https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-
hackathon-project machine-learning numpy pandas python scikit-learn
Last synced: about 2 months ago
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Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.
- Host: GitHub
- URL: https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-
- Owner: Aryan-coder-student
- Created: 2024-06-28T17:35:17.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-10-16T02:49:18.000Z (3 months ago)
- Last Synced: 2024-10-17T16:21:09.673Z (3 months ago)
- Topics: hackathon-project, machine-learning, numpy, pandas, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.38 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Video :- ([Youtube](https://youtu.be/RwaE9DHNvNs)
# AgriTech 2.0
## Agricultural Challenges in India
Improper management of irrigation and soil fertility has contributed significantly to agricultural losses in India. Key factors include inefficient water use, poor soil management practices, and inadequate infrastructure.
- **Unirrigated Land**: Around 67.79 million hectares out of 180 million hectares of agricultural land in India are still unirrigated. This makes nearly 40% of agriculture rain-dependent, leading to vulnerabilities due to climate variability ([source](https://india.mongabay.com/2022/11/in-india-climate-impact-on-agriculture-is-already-a-reality-now/)).
- **Inefficient Water Use**: Traditional irrigation methods often lead to water wastage. Over-irrigation and poor drainage systems can cause waterlogging and salinization of soil, reducing crop yields. The Economic Survey highlights the need for efficient irrigation practices and better water management ([source](https://pib.gov.in/PressReleasePage.aspx?PRID=1894900)).
- **Degradation of Soil Quality**: Intensive farming practices, overuse of chemical fertilizers, and lack of organic matter have led to the degradation of soil quality. This impacts the soil's ability to retain water and nutrients, ultimately affecting crop productivity ([source](https://pib.gov.in/PressReleasePage.aspx?PRID=1894900)).
- **Nutrient Imbalance**: The overuse of certain fertilizers can cause imbalances in soil nutrients, leading to reduced crop yields. For example, excessive use of nitrogen fertilizers without adequate replenishment of other nutrients like phosphorus and potassium can degrade soil health ([source](https://prsindia.org/policy/analytical-reports/state-agriculture-india)).
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## Our Solution: AgriTech 2.0
AgriTech 2.0 is an advanced alert app designed for farmers. Utilizing Machine Learning and Python, it analyzes sensory data from farmland to provide alerts on fertility and irrigation, and recommends crops based on the land's quality.
### Features
#### 🌾 Crop Recommendation
AgriTech 2.0 recommends crops based on the following sensor inputs:
- **Nitrogen (N)**
- **Phosphorus (P)**
- **Potassium (K)**
- **Temperature**
- **Humidity**
- **pH**
- **Rainfall**
##### Sensors Required:
- **NPK Sensors**
- **Temperature Sensor (DS18B200)**
- **Humidity Sensors (DHT22 [AM2302])**
- **pH Sensors (E-201-C)**
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#### 💧 Irrigation Alert
The app provides irrigation alerts based on these inputs:
- **Crop Name**
- **Crop Days**
- **Soil Moisture**
- **Temperature**
- **Humidity**
##### Sensors Required:
- **Temperature Sensor (DS18B200)**
- **Humidity Sensors (DHT22 [AM2302])**
- **Soil Moisture Sensor (YL-69)**
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#### 🌱 Fertility Check and Alert
AgriTech 2.0 checks and alerts the fertility status of farmland using these inputs:
- **Nitrogen (N)**
- **Phosphorus (P)**
- **Potassium (K)**
- **pH (potential of Hydrogen)**
- **Electrical Conductivity (EC)**
- **Organic Carbon (OC)**
- **Sulfur (S)**
- **Zinc (Zn)**
- **Iron (Fe)**
- **Copper (Cu)**
- **Manganese (Mn)**
- **Boron (B)**
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Happy Farming with AgriTech 2.0!