A Framework for Developing Agricultural Product Forecasting System Application for Farmers

Agriculture employs one-third of the workers in the Philippines. Farmers were critical in ensuring that fresh food was delivered to every home on a regular basis, which was necessary for our health. The agriculture sector’s long-term viability was improved by assisting farmers in developing a stronger network to market their products. By ensuring that produced products are profitable, the creation of an agricultural forecasting mobile application will help both farmers and dealers. The developed architecture design will be used in agricultural forecasting applications. The research looked into the factors that went into creating a smartphone application to assist farmers.

The use of a variety of statistical methodologies facilitated in the provision of in-depth analysis, resulting in a design that was more universally accepted by farmers.

The findings show that addressing certain common concerns about providing online services might help solve some problems and answer questions about agricultural output forecasting best practises.

According to the report, having a mobile agricultural forecasting tool alleviated the issues with farm waste generation. Farmers will be able to use the app to determine the level of crop demand in the market and navigate to the location in the participating trading post where farm produce demand is high. Farmers and the government were able to improve the agricultural sector, which was trailing behind that of other developing countries.

Author (S) Details

Joe Marie D. Dormido
College of Computer Studies, Carlos Hilado Memorial State College, Bacolod City, Philippines.

Thelma D. Palaoag
College of Information Technology and Computer Science, University of the Cordilleras, Baguio City, Philippines.

View Book :- https://stm.bookpi.org/AAER-V16/article/view/1997

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