An intelligent behavior-based fish feeding system

2016 ◽  
Author(s):  
Hamzah S. AlZubi ◽  
Waleed Al-Nuaimy ◽  
Jonathan Buckley ◽  
Iain Young
Keyword(s):  
Feeding System ◽  
Fish Feeding ◽  
Intelligent Behavior ◽  
Behavior Based

scholarly journals Automated fish feeding system for an offshore aquaculture unit

2021 ◽  
Vol 1072 (1) ◽  
pp. 012073
Author(s):  
P D Karningsih ◽  
R Kusumawardani ◽  
N Syahroni ◽  
Y Mulyadi ◽  
M S B M Saad
Keyword(s):  
Feeding System ◽  
Fish Feeding ◽  
Offshore Aquaculture

scholarly journals Incorporating Intelligence in Fish Feeding System for Dispensing Feed Based on Fish Feeding Intensity

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 91948-91960
Author(s):  
Mutiu A. Adegboye ◽  
Abiodun M. Aibinu ◽  
Jonathan G. Kolo ◽  
Ibrahim Aliyu ◽  
Taliha A. Folorunso ◽  
...  
Keyword(s):  
Feeding System ◽  
Feeding Intensity ◽  
Fish Feeding

Aerial fish feeding system

2011 ◽  
Author(s):  
Muhammad Farid Shaari ◽  
Mohammad Ezri Indra Zulkefly ◽  
Md Saidin Wahab ◽  
Faizal Esa
Keyword(s):  
Feeding System ◽  
Fish Feeding

scholarly journals Prototype Sistem Pakan Ikan dan Pemantauan PH Berbasis Android dengan Metode PLC

2021 ◽  
Vol 5 (4) ◽  
pp. 729-738
Author(s):  
Maria Rosaria Oktaviani ◽  
Rizky Pradana
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Ph Value ◽  
Ph Monitoring ◽  
Requirements Analysis ◽  
Fish Feed ◽  
Feeding System ◽  
Android Application ◽  
Fish Feeding ◽  
Arduino Uno

Abstract During the pandemic of covid-19, betta fish cultivation is one of the income alternatives. It makes the cultivation of betta fish is increasing. However, not all cultivators can successfully cultivate betta fish. Water quality and fish feed must be maintained in order for betta fish can grow perfectly and attractive. The problems that often encountered to the betta fish cultivator is about feeding and monitoring pH levels, which is still manual. This is can failure in betta fish cultivation of the cultivators are not disciplined. To minimize it, then will be made “Prototype Fish Feeding System and PH Monitoring Based Android”. This research is used PLC method: (a) Requirements Analysis, (b) Design, and (c) Implementation. Divided into 2 functions: Automatic Betta Fish Feeding System Based Android Function using Node MCU ESP8266 and Monitoring PH Levels Function using Arduino Uno. The result from this research is the user can control the open and close feed on the servo through an android application, the system can provide a distance of the feed supply to a user in real-time by notifications, the LCD always display pH value, the buzzer provides a sound when the water quality has reached the acid or alkaline index.  

scholarly journals A Robot Trace Maker: Modeling the Fossil Evidence of Early Invertebrate Behavior

1997 ◽  
Vol 3 (4) ◽  
pp. 289-306 ◽  
Author(s):  
Tony J. Prescott ◽  
Carl Ibbotson
Keyword(s):  
Animal Behavior ◽  
Trace Fossils ◽  
Early Cambrian ◽  
Late Precambrian ◽  
Fossil Evidence ◽  
Intelligent Behavior ◽  
Invertebrate Behavior ◽  
Behavior Based ◽  
Wall Following

The study of trace fossils, the fossilized remains of animal behavior, reveals interesting parallels with recent research in behavior-based robotics. This article reports robot simulations of the meandering foraging trails left by early invertebrates that demonstrate that such trails can be generated by mechanisms similar to those used for robot wall-following. We conclude with the suggestion that the capacity for intelligent behavior shown by many behavior-based robots is similar to that of animals of the late Precambrian and early Cambrian periods approximately 530 to 565 million years ago.

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