Aeroponic System with Yield Prediction

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dc.contributor.author Daniyal Azhar, 01-133202-028
dc.contributor.author Mohammad Ali, 01-133212-048
dc.contributor.author Usama Saeed, 01-133202-115
dc.date.accessioned 2024-06-25T04:49:28Z
dc.date.available 2024-06-25T04:49:28Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17457
dc.description Supervised by Engr. Rana Saqib en_US
dc.description.abstract As more and more people in the world are struggling to get enough food, with over a billion out of 8.5 billion facing hunger issues. The usual farming ways can’t keep up with this problem. That’s where aeroponics comes in. It’s a new way of growing food without soil, and it can help produce the food we need. But growing crops this way indoors means we have to carefully watch things like pH, light, and temperature. Although there are machines and computer programs trying to help, they’re not perfect yet. We need better ways to watch over the crops. This study uses a special computer method called ”logistic regression” to predict how well celery will grow by using aeroponics methods. we are exploring ways to make the data easy to understand using pictures and graphs to predict results. This helps us see how the celery is doing and makes sure we have enough food. en_US
dc.language.iso en en_US
dc.publisher Electrical Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BEE;P-2730
dc.subject Electrical Engineering en_US
dc.subject Temperature en_US
dc.subject Electrical conductivity en_US
dc.title Aeroponic System with Yield Prediction en_US
dc.type Project Reports en_US


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