Information technology based smart farming model development in agriculture land
| Autor: | Al-Khowarizmi Al-Khowarizmi, Arif Ridho Lubis, Muharman Lubis, Romi Fadillah Rahmat |
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| Rok vydání: | 2022 |
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| Zdroj: | IAES International Journal of Artificial Intelligence (IJ-AI). 11:564 |
| ISSN: | 2252-8938 2089-4872 |
| DOI: | 10.11591/ijai.v11.i2.pp564-571 |
| Popis: | Smart farming in various worlds is not just about applying technology in terms of storing data on agricultural land. However, having a concept of measurable data based on available computational techniques trained and then generating knowledge. As an application, the agri drone sprayer can be used for the process of applying pesticides and liquid fertilizers on each side. In addition, drone surveillance is also useful in implementing smart farming such as mapping land so that farmers will know the condition of their agricultural land. However, the soil and weather sensor will also help the farmers to monitor the farmland as well. Devices with sensors can only obtain data in the form of air and soil humidity, temperature, soil pH, water content and forecasting the harvest period. So that the smart farming model can help farmers to get recommendations, in preventing the predicted damage to their land and crops. However, according to its geographical location, the application of smart farming can be a smart solution to agricultural problems in Indonesia and make the future of Indonesian Agriculture a technology-based smart agriculture. |
| Databáze: | OpenAIRE |
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