Feature aggregation for nutrient deficiency identification in chili based on machine learning
Macronutrient deficiency inhibits the growth and development of chili plants. One of the non-destructive methods that plays a role in processing plant image data based on specific characteristics is computer vision. This study uses 5166 image data after augmentation process for six plant health cond...
Main Authors: | Deffa Rahadiyan, Sri Hartati, Wahyono, Andri Prima Nugroho |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2023-06-01
|
Series: | Artificial Intelligence in Agriculture |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721723000156 |
Similar Items
-
Classification of Chili Plant Condition based on Color and Texture Features
by: Rahadiyan, Deffa, et al.
Published: (2022) -
Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniques
by: Tong Liu, et al.
Published: (2023-05-01) -
Evaluating the Efficiency of Four Artificial Neural Network Methods in
Preparing Land Cover/Land Use Map Using ETM+ Data
Case study: Doiraje, Mehran and Sarableh
by: Saleh Arekhi, et al.
Published: (2014-12-01) -
Face Recognition Using Local and Global Features
by: Lai JH, et al.
Published: (2004-01-01) -
Identification of Nutrient Deficiencies at Calcareous Soils for Maize
by: Dedi Nursyamsi
Published: (2010-09-01)