Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture
Crop diseases, pest infestations, water shortages, weed infestations, and other issues affect the agriculture sector. Due to existing agricultural techniques, these issues result in significant crop loss, economic loss, and severe environmental hazards. Because agriculture is such a dynamic industry...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2022/1257015 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832562277650268160 |
|---|---|
| author | Zhe An Chunhang Wang Bincy Raj Sathyapriya Eswaran R. Raffik Sandip Debnath Saima Ahmed Rahin |
| author_facet | Zhe An Chunhang Wang Bincy Raj Sathyapriya Eswaran R. Raffik Sandip Debnath Saima Ahmed Rahin |
| author_sort | Zhe An |
| collection | DOAJ |
| description | Crop diseases, pest infestations, water shortages, weed infestations, and other issues affect the agriculture sector. Due to existing agricultural techniques, these issues result in significant crop loss, economic loss, and severe environmental hazards. Because agriculture is such a dynamic industry, robotics cannot solve all of its difficulties; instead, a single solution to a specific complex problem is supplied. To assist with these issues and provide a better approach globally, a variety of systems have been developed. Plant protection robots are characterized by complexity, constraint, and nonlinearity. In order to improve the accuracy and reliability of plant protection robots in agricultural job path planning, we propose a path planning method for agricultural plant protection robots based on a nonlinear algorithm. The ant colony algorithm was selected to plan the path distance index according to the working environment, and the feasibility of the simulation system was calculated. The results show that the fastest time used by the nonlinear algorithm is 5.3, and the path planning accuracy is up to 97.8%. Compared with the traditional algorithm, the algorithm has higher accuracy, less computing time, and higher computing efficiency. |
| format | Article |
| id | doaj-art-948fd1cc160844a69be546f6152661c3 |
| institution | Kabale University |
| issn | 1745-4557 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-948fd1cc160844a69be546f6152661c32025-02-03T01:22:58ZengWileyJournal of Food Quality1745-45572022-01-01202210.1155/2022/1257015Application of New Technology of Intelligent Robot Plant Protection in Ecological AgricultureZhe An0Chunhang Wang1Bincy Raj2Sathyapriya Eswaran3R. Raffik4Sandip Debnath5Saima Ahmed Rahin6Tangshan Vocational and Technical CollegeTangshan Vocational and Technical CollegeDepartment of PharmacognosyDepartment of Agricultural ExtensionDepartment of Mechatronics EngineeringDepartment of Genetics and Plant BreedingUnited International UniversityCrop diseases, pest infestations, water shortages, weed infestations, and other issues affect the agriculture sector. Due to existing agricultural techniques, these issues result in significant crop loss, economic loss, and severe environmental hazards. Because agriculture is such a dynamic industry, robotics cannot solve all of its difficulties; instead, a single solution to a specific complex problem is supplied. To assist with these issues and provide a better approach globally, a variety of systems have been developed. Plant protection robots are characterized by complexity, constraint, and nonlinearity. In order to improve the accuracy and reliability of plant protection robots in agricultural job path planning, we propose a path planning method for agricultural plant protection robots based on a nonlinear algorithm. The ant colony algorithm was selected to plan the path distance index according to the working environment, and the feasibility of the simulation system was calculated. The results show that the fastest time used by the nonlinear algorithm is 5.3, and the path planning accuracy is up to 97.8%. Compared with the traditional algorithm, the algorithm has higher accuracy, less computing time, and higher computing efficiency.http://dx.doi.org/10.1155/2022/1257015 |
| spellingShingle | Zhe An Chunhang Wang Bincy Raj Sathyapriya Eswaran R. Raffik Sandip Debnath Saima Ahmed Rahin Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture Journal of Food Quality |
| title | Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture |
| title_full | Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture |
| title_fullStr | Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture |
| title_full_unstemmed | Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture |
| title_short | Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture |
| title_sort | application of new technology of intelligent robot plant protection in ecological agriculture |
| url | http://dx.doi.org/10.1155/2022/1257015 |
| work_keys_str_mv | AT zhean applicationofnewtechnologyofintelligentrobotplantprotectioninecologicalagriculture AT chunhangwang applicationofnewtechnologyofintelligentrobotplantprotectioninecologicalagriculture AT bincyraj applicationofnewtechnologyofintelligentrobotplantprotectioninecologicalagriculture AT sathyapriyaeswaran applicationofnewtechnologyofintelligentrobotplantprotectioninecologicalagriculture AT rraffik applicationofnewtechnologyofintelligentrobotplantprotectioninecologicalagriculture AT sandipdebnath applicationofnewtechnologyofintelligentrobotplantprotectioninecologicalagriculture AT saimaahmedrahin applicationofnewtechnologyofintelligentrobotplantprotectioninecologicalagriculture |