@Article{crph1011,
AUTHOR = {Chibaya, Yolanda and Mutandavari, Mainford},
TITLE = {A Hybrid Based Recommender System for Enhancing Data Availability on Crop Market},
JOURNAL = {Current Research in Public Health},
VOLUME = {4},
YEAR = {2024},
NUMBER = {1},
PAGES = {20-28},
URL = {https://www.scipublications.com/journal/index.php/OJAR/article/view/1011},
ISSN = {2831-5162},
DOI = {10.31586/ojar.2024.1011},
ABSTRACT = {Smallholder farmers face challenges when they lack information on their agricultural activities. To address this, we suggest a web-based system that can be used by farmers to help them in decision making considering the fact that all necessary information is provided by the system. Farmers can input crop type they want to grow and area. This data will help to recommend them the best crops that are suitable to be grown in that area and the necessary growing practices that can be done to produce high yield and have maximum profits, considering the average rainfall of that year. A persistent issue we face in Zimbabwe is the lack of access to reliable agricultural data. In the agricultural sector, one major uncertainty for farmers is the outlook of their future harvest. Once their produce is ready for sale, the presence of other potential buyers compels traders to offer prices that align closely with those in the formal market. However, without timely information, traders can take advantage of the situation by purchasing crops at unfairly low rates. Having data that tracks prices across various markets in near real-time would enable farmers to have a precise and complete understanding of their selling choices to maximize their profits.},
}

%0 Journal Article
%A Chibaya, Yolanda
%A Mutandavari, Mainford
%D 2024
%J Current Research in Public Health

%@ 2831-5162
%V 4
%N 1
%P 20-28

%T A Hybrid Based Recommender System for Enhancing Data Availability on Crop Market
%M doi:10.31586/ojar.2024.1011
%U https://www.scipublications.com/journal/index.php/OJAR/article/view/1011

TY  - JOUR
AU  - Chibaya, Yolanda
AU  - Mutandavari, Mainford
TI  - A Hybrid Based Recommender System for Enhancing Data Availability on Crop Market
T2  - Current Research in Public Health
PY  - 2024
VL  - 4
IS  - 1
SN  - 2831-5162
SP  - 20
EP  - 28
UR  - https://www.scipublications.com/journal/index.php/OJAR/article/view/1011
AB  - Smallholder farmers face challenges when they lack information on their agricultural activities. To address this, we suggest a web-based system that can be used by farmers to help them in decision making considering the fact that all necessary information is provided by the system. Farmers can input crop type they want to grow and area. This data will help to recommend them the best crops that are suitable to be grown in that area and the necessary growing practices that can be done to produce high yield and have maximum profits, considering the average rainfall of that year. A persistent issue we face in Zimbabwe is the lack of access to reliable agricultural data. In the agricultural sector, one major uncertainty for farmers is the outlook of their future harvest. Once their produce is ready for sale, the presence of other potential buyers compels traders to offer prices that align closely with those in the formal market. However, without timely information, traders can take advantage of the situation by purchasing crops at unfairly low rates. Having data that tracks prices across various markets in near real-time would enable farmers to have a precise and complete understanding of their selling choices to maximize their profits.
DO  - A Hybrid Based Recommender System for Enhancing Data Availability on Crop Market
TI  - 10.31586/ojar.2024.1011
ER  -