scholarly journals Development of an Intelligent Robot for an Agricultural Production Ecosystem (V) : Experiments on Predation of Paddy by Golden Apple Snails

10.5109/14066 ◽  
2009 ◽  
Vol 54 (1) ◽  
pp. 235-239
Author(s):  
Alejandro Isabel Luna Maldonado ◽  
Yusuke Yamaguchi ◽  
Kei Nakaji
Keyword(s):  
Agricultural Production ◽  
Intelligent Robot

scholarly journals Development of an Intelligent Robot for an Agricultural Production Ecosystem (II) : Modeling of the Competition between Rice Plants and Weeds

10.5109/12866 ◽  
2008 ◽  
Vol 53 (2) ◽  
pp. 511-516
Author(s):  
Alejandro Isabel Luna Maldonado ◽  
Yusuke Yamaguchi ◽  
Midori Tuda ◽  
Kei Nakaji
Keyword(s):  
Agricultural Production ◽  
Intelligent Robot ◽  
Rice Plants

scholarly journals A RELIABILITY TEST METHOD FOR AGRICULTURAL PADDY FIELD INTELLIGENT ROBOT

2021 ◽  
pp. 271-280
Author(s):  
Deng Xuefeng ◽  
Zhou Bingqian ◽  
Hou Yiming
Keyword(s):  
Paddy Field ◽  
Agricultural Production ◽  
Production Efficiency ◽  
Influence Factor ◽  
Environmental Influence ◽  
Timed Automata ◽  
Test Method ◽  
Intelligent Robot ◽  
Production Environment ◽  
Field Production

With the development of artificial intelligence technology, in order to alleviate the labour intensity of agricultural paddy field production and improve production efficiency, the development of robot used in paddy field production has been a hot research in the field of agricultural production. Different from the industrial environment, the agricultural production environment is complex, and there are many interference factors to the intelligent robot. Therefore, ensuring the reliability of the robot in the operation has become an important index in the production process. The model checking technique can evaluate the reliability of the system when designing the system. In this paper, timed automata is used to model the agricultural paddy field intelligent robot, and the environmental influence factor model is introduced, so as to evaluate the reliability of the system qualitatively and quantitatively in the design of the agricultural paddy field robot. Finally, the control prediction of the system safety is carried out, and to provide a definite basis for the actual engineering design.

scholarly journals Development of an Intelligent Robot for an Agricultural Production Ecosystem (IV) : Experiments on Growth and Competition of Rice Plants against Weeds

10.5109/14065 ◽  
2009 ◽  
Vol 54 (1) ◽  
pp. 231-233
Author(s):  
Alejandro Isabel Luna Maldonado ◽  
Yusuke Yamaguchi ◽  
Kei Nakaji
Keyword(s):  
Agricultural Production ◽  
Intelligent Robot ◽  
Rice Plants

An Intelligent Robot System for Spraying Pesticides

2014 ◽  
Vol 8 (1) ◽  
pp. 435-444 ◽  
Author(s):  
Peng Jian-sheng
Keyword(s):  
Human Body ◽  
Agricultural Production ◽  
Direct Contact ◽  
Intelligent Robot ◽  
Test Results ◽  
System Operation ◽  
Robot System ◽  
Network Connection ◽  
Wireless Router ◽  
Operation Test

In order to reduce pesticides in agricultural production caused by direct contact with the human body injury, and improve the efficiency of agricultural spraying operations, this paper proposes the design of intelligent WiFi wireless controlled spraying pesticides robots. For monitoring the microcontroller core, a wireless router for the network connection point is employed. The camera captures video, Android phones and smart monitoring system operation. Test results show that the design realizes spraying pesticides by robot to replace staff job, and achieves good results.

scholarly journals Development of an Intelligent Robot for an Agricultural Production Ecosystem (III) - Modeling of the Predation of Rice Plants and Weeds by Golden Apple Snail -

10.5109/12867 ◽  
2008 ◽  
Vol 53 (2) ◽  
pp. 517-521
Author(s):  
Alejandro Isabel Luna Maldonado ◽  
Yusuke Yamaguchi ◽  
Midori Tuda ◽  
Kei Nakaji
Keyword(s):  
Agricultural Production ◽  
Intelligent Robot ◽  
Apple Snail ◽  
Rice Plants ◽  
Golden Apple Snail

Agricultural Production of the U. S., 1915

1916 ◽  
Vol 82 (2134supp) ◽  
pp. 347-347
Keyword(s):  
Agricultural Production
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