Prediction of Strawberry Leaf Color Using RGB Mean Values Based on Soil Physicochemical Parameters Using Machine Learning Models
Intensively grown strawberries in a greenhouse require frequent and precise soil physicochemical constituents for optimal production. Strawberry leaf color analyses are the most effective way to evaluate soil status and protect against excess environmental nutrients and financial setbacks. Meanwhile...
Main Authors: | Bolappa Gamage Kaushalya Madhavi, Jayanta Kumar Basak, Bhola Paudel, Na Eun Kim, Gyeong Mun Choi, Hyeon Tae Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/12/5/981 |
Similar Items
-
Prediction of Total Soluble Solids and pH of Strawberry Fruits Using RGB, HSV and HSL Colour Spaces and Machine Learning Models
by: Jayanta Kumar Basak, et al.
Published: (2022-07-01) -
Non-Destructive Estimation of Fruit Weight of Strawberry Using Machine Learning Models
by: Jayanta Kumar Basak, et al.
Published: (2022-10-01) -
Influence of different growing media on the growth and development of strawberry plants
by: Bolappa Gamage Kaushalya Madhavi, et al.
Published: (2021-06-01) -
Detection System of Strawberry Ripeness Using K-Means
by: Dolly Indra, et al.
Published: (2022-04-01) -
Weather Based Strawberry Yield Forecasts at Field Scale Using Statistical and Machine Learning Models
by: Mahesh L. Maskey, et al.
Published: (2019-07-01)