CLASSIFICATION SYSTEM ON SEVERITY OF ANTRAKNOSE DISEASE BASED ON MACHINE LEARNING IN BIG CHILLI
Plant growth chamber is a chamber that is isolated the surrounding environment with a microclimate control that’s already deployed within, user can control the microclimate and monitor what’s happened within the chamber. Inside the chamber, there are parameters that can be controlled such as, tem...
Saved in:
Main Author: | Rizky Abadi Sutoyo, Mochammad |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74699 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Development of a classification system on big data set using machine learning techniques
by: Tan, Zhi Ler
Published: (2021) -
ZONE CLASSIFICATION OF LAND SUITABILITY OF CHILLI, CABBAGE AND TOMATO PLANTS BASED ON CLIMATE AND ECONOMICS IN CIANJUR REGENCY
by: Novita Dewi, Anggia -
All the chilli In the world
by: Kang, Corrinne Kai Ying, et al.
Published: (2018) -
Kajian perlakuan suhu, kelembapan dan cahaya terhadap perkembangan penyakit antraknose pada kakao
by: , PURNOMO, Bambang, et al.
Published: (1993) -
ANTHRACNOSE DISEASE SEVERITY DETECTION SYSTEM IN CAYENNE PEPPER (CAPSICUM FRUSTESCENS) USING MACHINE LEARNING
by: Mubarokah, Ita