Crop yield prediction using machine learning - PYTHON
for source code contact
MOBILE NUMBER : 9666665154
EMAIL ID : [email protected]
ABSTRACT
Looking at the current situation faced by farmers in Maharashtra, we have observed that there is an increase in suicide rate over the years. The reasons behind this includes weather conditions, debt, family issues and frequent change in Indian government norms. Sometimes farmers are not aware about the crop which suits their soil quality, soil nutrients and soil composition. The work proposes to help farmers check the soil quality depending on the analysis done based on data mining approach. Thus the system focuses on checking the soil quality to predict the crop suitable for cultivation according to their soil type and maximize the crop yield with recommending appropriate fertilizer.
PROBLEM:
As per the statistics of 2016 around 272.82 million farmers dwell in Maharashtra. With this myriad number of farmers and increasing suicide rates , we want to help farmers to understand the importance of prior crop prediction, to flourish their basic knowledge about soil quality, understanding location-wise weather constraints, in order to achieve high crop yield through our technology solution. Most of the existing system are hardware based which makes them expensive and difficult to maintain. Also they lack to give accurate results. Some systems suggest crop sequence depending on yield rate and market price. The system proposed tries to overcome these drawbacks and predicts crops by analyzing structured data.
Objective:
The project being “Prediction of soil quality using data mining approach” certainly focuses on agricultural aspects. Being a totally software solution, it does not allow maintenance factor to be considered much. Also the accuracy level would be high as compared to hardware based solutions, because components like soil composition, soil type, pH value, weather conditions all come into picture during the prediction process.
ADVANTAGES AND DISADVANTAGES
Advantages:
1. Increases soil fertility
2. Increases crop yield
3. Increase in soil nutrients
4. Reduces soil erosion
5. Limits concentration of pests and diseases
6. Reduces the stress of weeds
7. Improves the soil structure
8. Reduces pollution
Disadvantages:
1. It involves risk
2. Improper implementation can cause much more harm than good
3. Obligatory crop diversification
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
• System : Pentium Dual Core.
• Hard Disk : 120 GB.
• Monitor : 15’’ LED
• Input Devices : Keyboard, Mouse
• Ram : 1 GB
SOFTWARE REQUIREMENTS:
• Operating system : Windows 10
• Coding Language : python
• Tool : pychram
• Database : MYSQL
• Server : Flask