AgriSuccess

AgriSuccess

Is an Agricultural information sharing platform with a device that makes soil analysis to recommend a particular crop that will thrive.

Android, Artificial Intelligence, Internet of Things

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Description

Agrisuccess is a hardware(running on Intel genuino 101), web-based, and mobile system designed to help farmers perform real time soil fertility analysis, which generates reports on: soil pH, soil Nitrogen, Phosphorus, Potassium (NPK) contents, soil temperature and moisture. The purpose of which is to identify pre or post-harvest nutrients in the soil by using Agrisuccess’ hardware, which connects to a phone via Bluetooth or Wifi, and prepares for the farmer a list of crops that can be produced successfully, given their current soil conditions. Before planting, if other crops are desired, Agrisuccess can report to the farmer what additional nutrients need to be added to the ground to ensure new crop success. The system also assists them in making the right decisions on which crops can thrive better on their soils and hence, in turn, increase their incomes. The beauty with the soil analysis device is that the soil analysis is done in the field rather than collecting soil samples to labs as it is done in the current manual systems and this eliminates a lot of errors. And also results are sent to the user in real time automatically wherever they are. Agrisuccess helps farmers connect with near buy buyers of crop produce. It also provides the farmer with weather forecasts. The system eliminates tedious paper work by helping the farmer keep records on irrigation, pest control and current fertilizer status. Agrisuccess allows farmers and farming professionals the opportunity to discuss their unique issues: possibly recommend and connect the farmer to financial institutions for loans, with the supporting documentation needed about their farm which will assist the farmer in obtaining both a loan and quality crop yields. The ultimate goal is to increase agricultural sector contribution to the national GDP.

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rıdvan ö. created project CLOUD YAŞAM

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CLOUD YAŞAM

Bilgilerin kolay paylaşımı , transferi ,hızı ve güvenliği için hazırlanmış cloud sunucular ile yapay zekayı birleştirebiliriz. Cloud sistemlere uygulancak yapay zeka ile işlerimizi otomatik,hızlı ve güvenilir bir şekilde gerçekleştirebiliriz . örneğin akıllı bir kapım var ve ben evde değilim kapıyı açmam gerek en hızlı şekilde uzaktan talimat vererek güvenli bir şekilde kapının açılmasını sağlayabiliriz.

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Baye G. created project Rapid Diagnos

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Rapid Diagnos

I am Baye Gaspard, from the extreme north of Cameroon popularly known as Maroua. This region is considered to be the most beautiful region with very rich cultures. But unfortunately, it is the poorest in Cameroon and accounts for the region with the highest death rates with majority of deaths caused by respiratory disease. I have had personal encounters with the resource scarce healthcare facilities in Maroua where I have been a patient, but I have lived to tell my story. Others like my aunt were not so fortunate, and passed away from respiratory illnesses which could have been prevented or treated if detected early. According to reports from World Health Organization (WHO) and The Forum of International Respiratory Societies (FIRS) approximately 409.4 million people fell ill with respiratory diseases with about 65 million people having moderate to severe chronic obstructive pulmonary disease, 334 million people suffer from asthma and 10.4 million people developing tuberculosis, making a total of around 10.4 million deaths every year. This makes respiratory diseases one of the top 3 causes of death worldwide, with the largest share of deaths coming from Africa. Sadly, several of these deaths are preventable or treatable if detected early, however poor health structures and systems lead to poor diagnosis and prognosis. Expensive cost of consultations and diagnosis of respiratory diseases. Many people in Maroua can’t even afford to have 3 meals a day which may cost around 2500FrsCFA (approx. $5), talk less of buying prescribed drugs which sometimes cost 2 times the price of a day meal i.e. 5000FrsCFA (approx... $10) Takes lot of time to have diagnoses. Sometimes days due to long queues of patients in test centers coming from different villages of the region. Little or no awareness about the risk factors of respiratory diseases. Few experts in health sector especially doctors specialized in respiratory diseases. Poor roads leading to late delivery of drugs to remote patients in remote villages. In July 2017, I had the opportunity to be part of the 10 Academy fellowship program which exposed me to broad and novel ways of thinking through Africa’s development challenges. I was particularly intrigued by the potential of Artificial Intelligence (AI) to be used as a diagnostic tool in medicine and be used in preventative medicine also. Building on my prior knowledge of AI and robotics and learning from Dr Korsah, head of computer science department at Ashesi University during 10 Academy, I understood precisely how I could effectively solve the high mortality rate caused by respiratory diseases using AI. Working in a team composed of mobile app developer, Muzammil Bin Anwar from Mauritius, Electronic engineer, Bibi Rawiyah from Mauritius Island, and Muli, Joy Mueni a designer from Kenya we created a prototype of an AI powered mobile app that is simple to use, with diagnostic, predictive and preventative medicine capabilities for respiratory diseases in less than 10 minutes. The core functions of the app is based on a knowledge base, and will perform reasoning and make probabilistic inferences with predefined existing data. The app offers other services such as connecting patients to specialists based on availability and proximity and an interface that allows patients to schedule appointments ahead of visits. In terms of scale, my team and I plan to reach other countries in Africa and also integrate this with a medicine delivery system based on solar powered drone technology to capitalize on the massive solar potential in Africa.

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Baye G. updated status

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Baye Gaspard

I am Baye Gaspard, 24years old .Holder of a BSc in ICT and Higher National in Telecommunication , I am pationate about coding, especially python programming and AI. I am from the extreme north of Cameroon popularly known as Maroua.This region is considered to be the most beautiful region with very rich cultures. But unfortunately, it is the poorest in Cameroon and accounts for the region with the highest death rates with majority of deaths caused by respiratory disease. I have had personal encounters with the resource scarce healthcare facilities in Maroua where I have been a patient, but I have lived to tell my story. Others like my aunt were not so fortunate, and passed away from respiratory illnesses which could have been prevented or treated if detected early. According to reports from World Health Organization (WHO) and The Forum of International Respiratory Societies (FIRS) approximately 409.4 million people fell ill with respiratory diseases with about 65 million people having moderate to severe chronic obstructive pulmonary disease, 334 million people suffer from asthma and 10.4 million people developing tuberculosis, making a total of around 10.4 million deaths every year. This makes respiratory diseases one of the top 3 causes of death worldwide, with the largest share of deaths coming from Africa. Sadly, several of these deaths are preventable or treatable if detected early, however poor health structures and systems lead to poor diagnosis and prognosis. Expensive cost of consultations and diagnosis of respiratory diseases. Many people in Maroua can’t even afford to have 3 meals a day which may cost around 2500FrsCFA (approx. $5), talk less of buying prescribed drugs which sometimes cost 2 times the price of a day meal i.e. 5000FrsCFA (approx... $10) Takes lot of time to have diagnoses. Sometimes days due to long queues of patients in test centers coming from different villages of the region. Little or no awareness about the risk factors of respiratory diseases. Few experts in health sector especially doctors specialized in respiratory diseases. Poor roads leading to late delivery of drugs to remote patients in remote villages. In July 2017, I had the opportunity to be part of the 10 Academy fellowship program which exposed me to broad and novel ways of thinking through Africa’s development challenges. I was particularly intrigued by the potential of Artificial Intelligence (AI) to be used as a diagnostic tool in medicine and be used in preventative medicine also. Building on my prior knowledge of AI and robotics and learning from Dr Korsah, head of computer science department at Ashesi University during 10 Academy, I understood precisely how I could effectively solve the high mortality rate caused by respiratory diseases using AI. Working in a team composed of mobile app developer, Muzammil Bin Anwar from Mauritius, Electronic engineer, Bibi Rawiyah from Mauritius Island, and Muli, Joy Mueni a designer from Kenya we created a prototype of an AI powered mobile app that is simple to use, with diagnostic, predictive and preventative medicine capabilities for respiratory diseases in less than 10 minutes. The core functions of the app is based on a knowledge base, and will perform reasoning and make probabilistic inferences with predefined existing data. The app offers other services such as connecting patients to specialists based on availability and proximity and an interface that allows patients to schedule appointments ahead of visits. In terms of scale, my team and I plan to reach other countries in Africa and also integrate this with a medicine delivery system based on solar powered drone technology to capitalize on the massive solar potential in Africa. Work on this project is ongoing and together with my team, we are working towards a full launch in January 2018. It is my hope that millions of African do not suffer needless and untimely deaths due to preventable illnesses.

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Tahir M. created project Hand-Eye Coordiinated System for Autonomous Manipulation

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Hand-Eye Coordiinated System for Autonomous Manipulation

I am working on a Hand-Eye Coordination System for Autonomous Robotic Manipulation (targeting Amazon Robotics Challenge 2018). My project is divided into 3 phases. 1. Object Recognitio 2. Appropriate Shelf Recognition 3. Robotic Manipulation Phase 1 (Object Recognition) using single shot detection (SSD incorporating Constitutional Neural Networks) is about to complete almost 85% of work is done. A heavy duty Mitsubishi Electric 7 dof arm is available for the project.

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Tahir M. updated status

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Tahir Mehmood

Hello Guys I am Tahir Mehmood an Electronic Engineer from Pakistan

I am a research Associate at Bahria Robotics Society (BRS) Bahria University Islamabad Pakistan. I secured my admission in Masters in Autonomous Systems at Bonn-RheinSieg University of Applied Sciences Bonn, Germany starting in spring 2018.

Currently at BRS, I am working on a Hand-Eye Coordination System for Autonomous Robotic Manipulation (targeting Amazon Robotics Challenge 2018). My project is divided into 3 phases. 1. Object Recognition using single shot detection (SSD incorporating Convolutional Neural Networks) 2. Appropriate Shelf Recognition 3. Robotic Manipulation Phase 1 (Object Recognition) is about to complete almost 85% of work is done. I am also guiding some students in their final year project ‘Smart Vacuum Cleaner’. As a part of BRS I also organized a seminar on Introduction to Robotics and Robot Operating System (ROS) in summer 2016.

A bit about my history, I started a collaboration between Iqra University and Bahria University, conceptualized and initiated Domestic Service Robots project, subsequently which enabled me to lead a first ever team from South Asia to RoboCup@Home’16 and European Robotics League’17. I thoroughly investigated different autonomous navigation techniques and developed skills in ROS, AI (UC Berkley’s Course material) and robotics. As an undergraduate I published papers in 2 internationally well recognized conferences. I advanced my technical expertise by doing a couple of moocs on hands-on in machine learning, deep learning computer vision.

My aim is to teach the world AI and Robotics as much as I can. Also learning is not ending phase it will also help me to enhance my skills By working and sharing ideas with others on a platform like this will be a step towards shaping the world’s future.

Knowing how fast technology moves, I really wanted to be part of the AI revolution ASAP.

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Muhammad Zubair N. updated status

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Muhammad Zubair Nawaz

Currently i am working on surveillance drone for security purpose. I will make system in which there is autonomous drone that will be control from desktop app and a video processing app. In this project Artificial Intelligence, Machine learning and Internet of things all are include.

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