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Android-Based oil palm farmer’s income analysis to support precision agriculture

Bimantio, M. P. ; Ferhat, A. ; Isnaini, L. ; Putra, D. P. ; Suparyanto, T. ; Pardamean, B. Sitepu, Elioenai ; Noerlina ; Harito, Christian

AIP Conference Proceedings, 2023, Vol.2594 (1) [Periódico revisado por pares]

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Título:
Android-Based oil palm farmer’s income analysis to support precision agriculture
Autor: Bimantio, M. P. ; Ferhat, A. ; Isnaini, L. ; Putra, D. P. ; Suparyanto, T. ; Pardamean, B.
Sitepu, Elioenai ; Noerlina ; Harito, Christian
Assuntos: Income ; Mathematical analysis ; Random sampling ; Sampling methods
É parte de: AIP Conference Proceedings, 2023, Vol.2594 (1)
Descrição: The purpose of this research is to create a simulator application in calculating farmer's income from the sale of fresh fruit bunches. Farmers can easily find out the outcomes based on how many kilograms of crops are sold through this application. This research was conducted in Mesuji Regency, Lampung Province, using primary data and descriptive analysis. The sampling technique utilized a proportional random sampling method and consisted of 88 oil palm farmers. The results indicated that the application made it simpler for farmers to find out their income. Farmers only needed to input the land area, the harvest number obtained on the harvest day that had been carried out, and the price of fresh fruit bunches so that they would know the estimated monthly and annual income calculations. These calculations can be used by farmers as a predicting and planning tool to avoid losses.
Editor: Melville: American Institute of Physics
Idioma: Inglês

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