Ananas comosus smart sensor grading / Eunice Dyane Rudy, Samantha Fredric and Vanieda Rose Franky

Rudy, Eunice Dyane and Fredric, Samantha and Franky, Vanieda Rose (2023) Ananas comosus smart sensor grading / Eunice Dyane Rudy, Samantha Fredric and Vanieda Rose Franky. In: E-extended abstract of the International Agrotechnology Innovation Symposium (i-AIS). 4th edition ed. Faculty of Plantation and Agrotechnology, Kampus Jasin, Melaka, pp. 79-81. ISBN 978-629 -97220-6-9
Abstract

Smart farming is a concept that refers to managing farms using technologies to increase quantity and quality of products simultaneously optimizing human labor required by production. For instance, technologies used for smart farming are AI, drones, IoT and robotics. Previous research has shown that using technologies is proven to increase the productivity of yield as it is convenient and faster. However, the drawback of smart farming is the use of chemicals increased, water distributed to plants is uneven, increase in the distance of food transported and dependency on organic fertilizers. Simultaneously, there are several public institutions that publish the open data, where the privacy of a person must be guaranteed under condition. We use the research from UAF Times to indicate the increase of yield productivity on account of smart farming. Contrary to what has been presumed, agricultural technology is a collection of methods and gadgets used in the production. We discover that smart farming reduces the ecological footprint of farming, where it minimizes the application of inputs. To be precise, agriculture systems will reduce leaching problems as well as the release of greenhouse gas. The smart farming future may unravel in 2 different scenarios, where farmers are a part of a highly integrated food supply chain or farmers collaborating with stakeholders in the chain network are flexible in choosing business partners.

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