| Autor: |
Joe Marie D. Dormido, Thelma D. Palaoag |
| Rok vydání: |
2021 |
| Předmět: |
|
| DOI: |
10.9734/bpi/aaer/v16/8906d |
| Popis: |
In the Philippines, farming employs one-third of the workforce. Farmers played an essential part in delivering fresh food to every family on a regular basis for our wellbeing. Assisting farmers in building a stronger network to market their products resulted in the agricultural sector's long-term viability. The development of an agricultural forecasting mobile application will benefit both farmers and traders by ensuring that produced crops are profitable. Agricultural forecasting applications will use the developed architecture design. The study looked into the aspects that went into the development of a mobile application to help farmers. The employment of various statistical methods aided in the provision of in-depth analysis, resulting in a more widely acceptable design for farmers. The findings demonstrate that identifying some common concerns in offering online services will also help to resolve some challenges and provide answers to the best practises in agricultural production forecasting. It stated that having a mobile agricultural forecasting application solved the problems associated with farm waste production. The application will assist farmers in determining the degree of crop demand in the market and navigating to the location where farm produce demand is high in the participating trading post. This helped farmers and the government enhance the agricultural sector, which was lagging behind other developing countries. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
