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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 |