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.
Hi guys,this is sriram pursuing B.tech 3rd year 2nd semester in vijayawada.I am presently working on a project which requires machine learning,convolutional neural networks,image processing,python,php and other languages (used for building an website).The main motto of my project includes detecting the objects from a given image.This is pretty hard project for me but more interesting one because this project seperates me from others.I have a team with one member.I asked my teammate to learn numpy,scipy and pandas libraries .I have already installed numpy,scipy , pandasand other libraries without installing anaconda.I am getting many confusions in this project.But finally i have got a better overview about it and my team is currently working on it.I surely believe that my team can complete the project.Finally i have completed some courses like machine learning and presently preparing numpy,scipy,pandas,convolutional neural networks.
Only 2-3 % of oral cancer is detected and prevented at early stages ,if our approach can give a little bit of increment in the detection and prevention area then this could be the great achievement in the field of medical science
Extract the data available in the input image/visual and process it to find the close search result available for the related terms. when a input visual containing the sentence "where is Mt. Everest ?" is given the output will be "Nepal", when a input visual containing the sentence "how to get to pokhara from kathmandu" the output will be google maps result with route, when the input visual containing "Gautam Buddha" is given the output will be wikipedia result about Buddha. the system will be able to
RFP, Proactive pitch in , blockchain,IOT and Big Data sales pitch and strategies, engage with customers and provide solution design, consulting and recommendations. Provide consulting to customers in identifying Blockchain , IOT and Big Data use cases and then guiding them towards implementation of use cases. Big Data strategic planning, technology roadmap, talent acquisitions and mentor team for cutting edge technology competitiveness such as Hadoop, HIVE, HBase, Cassandra, AWS, Spark, R, big data analytics, data visualizations. Establish and manage governance for the implementation process , related to design of the target organization, production performance and managing change,
Working on Trident Techno Minds Business & Emerging Markets Pre-Planning and delivery team for block chain , Internet of things ,Big Data services, strategy engagements with our existing and new customers in Big Data space.
My first webpage.
Currently Ai-based applications are available, but none of these offers a guarantee of truthfulness. Since in nature there are several chameleon mushrooms, the application may not be able to recognize it.
The idea of this project offers a more accurate solution for the mushroom recognition based on 3 different images to uniquely validate the mushroom: Cap, Stem and Gills of Mushroom.
The project involves the application of image recognition techniques based on deepLearning algorithms, for now trained with caffe framework.
Once the prototype environment for the workflow has been developed, specific test and validation datasets will be made for the most common mushrooms.
Furthermore, the use of Movidius in the prototyping phase is envisaged, which uses the training models realized with the help of the colfax cluster to do inference from the edges without the cloud.
I am currently studying internet of things apart from my studies,for my self interest.
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