TY - GEN
T1 - Path Planning of Autonomous Pollination Using Heredity Algorithm for Intelligent Agriculture
AU - Wang, Zhaochen
AU - Gao, Xiaoyan
AU - Wang, Hanling
AU - Chen, Yi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2023/8
Y1 - 2023/8
N2 - Food security is a pressing issue, particularly considering that approximately one-third of human food consumption depends on animal pollination. However, the decline in natural pollinators threatens the food supply. To address this problem, using micro air vehicle pollinators (MPrs) offers a potential solution by enabling efficient artificial pollination. This study aims to develop an AI algorithm based on the Heredity algorithm for the path planning of autonomous pollination, tailored explicitly for future farming scenarios where robotic MPrs are employed. By doing so, valuable insights can be gained into the autonomous design and manufacturing processes, ultimately leading to increased production efficiency. This research endeavours to bridge the gap between laboratory advancements and market implementation, facilitating a quicker transition and adoption of these technologies.
AB - Food security is a pressing issue, particularly considering that approximately one-third of human food consumption depends on animal pollination. However, the decline in natural pollinators threatens the food supply. To address this problem, using micro air vehicle pollinators (MPrs) offers a potential solution by enabling efficient artificial pollination. This study aims to develop an AI algorithm based on the Heredity algorithm for the path planning of autonomous pollination, tailored explicitly for future farming scenarios where robotic MPrs are employed. By doing so, valuable insights can be gained into the autonomous design and manufacturing processes, ultimately leading to increased production efficiency. This research endeavours to bridge the gap between laboratory advancements and market implementation, facilitating a quicker transition and adoption of these technologies.
KW - Artificial pollination
KW - Food security
KW - Heredity algorithm
KW - Micro air vehicle pollinators
KW - Path planning
UR - http://www.scopus.com/inward/record.url?scp=85187800203&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-8498-5_30
DO - 10.1007/978-981-99-8498-5_30
M3 - Conference Proceeding
AN - SCOPUS:85187800203
SN - 9789819984978
T3 - Lecture Notes in Networks and Systems
SP - 379
EP - 392
BT - Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
A2 - Tan, Andrew
A2 - Zhu, Fan
A2 - Jiang, Haochuan
A2 - Mostafa, Kazi
A2 - Yap, Eng Hwa
A2 - Chen, Leo
A2 - Olule, Lillian J. A.
A2 - Myung, Hyun
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023
Y2 - 22 August 2023 through 23 August 2023
ER -
