This project basically revolves around the growth and a look after concept regarding crops. Crops here are being selected according to national percentage usage and gardening, simply the crops those are a big part of national economy i.e. rice, sugar cane and wheat. Main concept of this mobile application is to analyze and predict average outcome per acre, deficiencies (diseases), height and basic details i.e. name, color, climate etc.

To cater all these problems we have to give an input to our system directly through mobile camera (picture, video) and the technology used here would be Digital image processing to analyze, Moving ahead there would be a database at backend holding details and prediction records that would analyze and predict average outcome, deficiencies (diseases) and basic info regarding the crop that is being captured through camera and this concept mainly falls under Machine learning.

As there is huge problem among farmers not having accurate facts and figures or feasibility analysis and this results in economic loss in farming from root to top level (national economy). So now an app available on farmer’s mobile phones will help them identify pests and diseases and suggests remedies and as well as the age, size, health, condition and the name with all information of the crop. All he has to do is click a picture of the crop and he have all the required information of the crop like how long before it is cultivated, its size like its growing same the way it has to be and where are the areas are best to cultivate this type of crops and the estimated outcome from the crop.

These are the basic features
• Crop detection
• Crop Information
• Growth Rate
• Disease Detection
• Solution
• Precautions
• Estimated Outcome

http://www.yasirniaz.com/research

• Pakistan

• Indigenous and nomadic peoples
• The poor
• Remote and rural communities

On all farms across the globe, wherever agriculture is done and a smart phone with Internet is available.

The app can be used by Governments to gather information and help farmers. Farmers can be provided subsidy and private sector may be encouraged to rent out this service.

It will improve Food Security, use of ICT in rural areas, smart agriculture, connection between farmers and governments.