Comparison Between Machine Learning Models for Yield Forecast in Cocoa Crops in Santander, Colombia
The identification of influencing factors in crop yield (kg·ha-1) provides essential information for decision-making processes related to the prediction and improvement of productivity, which gives farmers the opportunity to increase their income. The current study investigates the application of mu...
Những tác giả chính: | Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro |
---|---|
Định dạng: | Online |
Ngôn ngữ: | eng spa |
Được phát hành: |
Universidad Pedagógica y Tecnológica de Colombia
2020
|
Những chủ đề: | |
Truy cập trực tuyến: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853 |
- Những quyển sách tương tự
-
Machine Learning Applied to Gender Violence: A Systematic Mapping Study
Bằng: Pinto-Muñoz, Cristian-Camilo, et al.
Được phát hành: (2023) -
Solar Radiation Prediction on Photovoltaic Systems Using Machine Learning Techniques
Bằng: Ordoñez-Palacios, Luis Eduardo, et al.
Được phát hành: (2020) -
Machine learning algorithms for prediction of physicochemical soil properties by spectral information: a systematic review
Bằng: Vargas-Zapata, Mateo, et al.
Được phát hành: (2022) -
Liming applications and the SPAD chlorophyll index and stomatal conductance in cocoa exposed to cadmium in the soil
Bằng: Suárez-Parra, Karen Victoria, et al.
Được phát hành: (2022) -
Economic analysis of the cocoa sector in Norte de Santander State, Colombia and at an international level
Bằng: Vásquez-Barajas, Eduardo Felipe, et al.
Được phát hành: (2018)