Agrisasa is an app that helps farmers get reach to their potential buyers and markets in an efficient and elaborate way. This is achieved by elimination of middle men in the farmers value chain by deploying machine learning models of the market current trends and suggesting the best parterns of market demands with the changing dynamics of the economy.
This app works on both Android Phones and Android Things kits. To install this app on your phone : Locate Agri-Sasa: Agri Sasa, in this repository and download it on your android device, then locate it on your phone and install it.
To install in on Android things : Clone or download the project , then import it into your android studio. Connect your android things kit and make sure it is updated correctly, the run the app via android studio by tapping 'RUN'
One can create a new account for testing purposes by clicking 'Create Account'
This app gives a direct link of farmers to customers, such that a customer is able to talk directly to a farmer and have the burgaining power with the farmer. Customer needs and changes are then shared with farmers to ensure a better service of the futer of the product or service.
The video below will show you how a farmer/ customer or any other person who wants to sell or buy a farm item ,will access the app. This includes:
- Farmer Account creation
- Farmer Details updates
- Farmer Product upload
- Customer account creation
- Customer acccess to products
- Analysing this info using machine learning models.
- Analytics of better farmer performance and and customer satisfaction insights.
The following video will show you the farmer side of the app.
This includes:
- Farmer Account creation.
- Farmer location and contact details.
- Farmer products/services upload .
- Farmer products insighsts from customers based on machine learning models.
- Access to potential customers/ Buyers.
Farming has been the major feeder of most developing countries in Africa, African countries majorly rely on farm products for an economic sustainability. Kenya being my area of study, i found out that a whole 65% of people who live in rural areas do not seek for skilled office employment, but depend entirely on harvested crops in order for them to make a living. Howeve, they are normally faced with the challenge of getting a very efficient and elaborate way to sell their farm produce and maximize on their value. Many end up getting little pay for their hardwork due to the ever extending middle men in the value chain. They are also faced with the challenge of being able to predict the ever changing flavour of customers on their products. This is the most fundermental reason why i created Agrisasa application.
Whats my goal here?
“The ultimate goal of farming is not the growing of crops, but the cultivation and perfection of human beings.” ― Masanobu Fukuoka, The One-Straw Revolution
My goal here is to create a condusive environment for farmers and customers, allowing them to maximize on their profits, without compromising on quality using the best, efficient and easiest way using a machine learning model that is able to predict the changing patterns of farmers. Being able to notify customers whenever the harvest of a particular crop diminishes and being able to alert farmers of the current needs of customers interms of variety and preferences.
To maintain the best of my goal , i have made this app to have several farmers and customers.
The user creates an account and is able to access the various crops or services from farmers. He/she then can deside to order whetever they prefer, the app studies this specific users action and saves on a machine model which then comes us with a predictive analysis of what specific customers and genders like and at what period and under what conditions.
This gives more insights on the farmers side, They are able to do farming geared towards users preferences based on gender, times and tastes. This gives a further analysis of what the farmer should cncentrate on more in order to maximize the production value chain. Profits are maximized as customers interact directly with farmers and they can negotiate basing on users preferences. This helps farmers to have more confidence in their sales and will make farming in African countries have more value than as it is at the moment where lots os middle men kill the farming value chain.
Agrisasa is a product developed by Benard Ngoda. All the photos and libraries used are open source and are subject to change with requirements specifications to whom it may concern.
Copyright (c) 2019 Benard Ngoda
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
For personal feedback or questions feel free to contact me via the mail address, which is mentioned on my Github profile. If you have found any bugs or want to post a feature request please use the bugtracker to report them.
- Homepage: Personal Portal
- Twitter: @ibensalcie
| Agri Sasa | Team Name: Agri Sasa | Agrisasa is an app that helps farmers get reach to potential markets or customers using machine learning models in predicting the ever changing market dynamics | LICENSE | Kenya | Benard Ngoda
