Sunday, October 30, 2022

Agriculture Methodology of implementation

A drop of water or soil sample is placed on the AgroPad, which is a paper device about the size of a business card. The microfluidics chip inside the card performs on-the-spot chemical analysis of the sample, providing results in less than 10 seconds. The set of circles on the back of the card provides colorimetric test results; the color of each circle represents the amount of a particular chemical in the sample. Using a smartphone, the farmer would then take a single snapshot of the AgroPad by using a dedicated mobile application and immediately receive a chemical test result. AgroPad: “AI on the edge This “AI on the edge” computing approach uses machine learning and machine vision algorithms to translate the measured color composition and intensity into concentrations of chemicals in the sample, making it more reliable than tests based on human vision alone. Test data can be simultaneously streamed onto a cloud computing platform and labeled with a digital tag that uniquely identifies the time, location, and results of the chemical analysis. The cloud platform allows management and integration of millions of individual tests performed at various times and locations. This is an important feature for monitoring, for example, the change in fertilizer concentration in a particular region throughout the year. The proposed solution has a five-parameter prototype solution for soil and water testing that measures pH, nitrogen dioxide, aluminum, magnesium, and chlorine. We’re continually extending the library of chemical indicators available for deployment; each AgroPad could be personalized based on the needs of the individual user. The IBM research prototype, the AgroPad, enables real-time, on-location, chemical analysis of a soil or water sample, using AI. Since paper-based tests can be reliably performed by non-experts, public data collection with instant digitization in chemical sensing becomes a real possibility. Along with low cost, mass production of the paper-based device, and large-scale deployment through mobile and cloud technologies, the exploratory prototype could revolutionize digital agriculture and environmental testing. The soil, water, and environmental data acquisition will be carried out by means of the devices based on IoT, data will be streamed into Google cloud services Pub/sub and processed in the AEON Architecture.

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