Full-progress crop management and harvesting scheme with integrated space information: A case of jujube orchard
Space information integration can better obtain the environmental information, crop information, climate information and other key factors of the farmland, which is more helpful for crop management and harvesting. In the traditional crop management and harvesting process, crop management and harvesting are two relatively independent processes, lacking a complete full-process scheme. In this regard, this paper proposes a full-process crop management and harvesting scheme with integrated space information, which takes the space information of the crop planting area as the core, fully associates and closely integrates the crop management process and harvesting process, and carries out scientific field management, accurate yield estimation, and reasonable harvesting path planning for crops, to improve the intelligence and precision of the crop management and harvesting process. By using the jujube orchard as a case study, it was verified that the full-process crop management and harvesting scheme with integrated space information can improve the management level and economic benefits of the jujube orchard.
Authors
- Yang Li (ORCID: https://orcid.org/0000-0002-4268-4004)
- Achyut Shankar (ORCID: https://orcid.org/0000-0003-3165-3293)
- Bilal Abu-Salih (ORCID: https://orcid.org/0000-0001-9875-4369)
- Yichen Yuan (ORCID: https://orcid.org/0000-0001-5952-0383)
- Joel J. P. C. Rodrigues (ORCID: https://orcid.org/0000-0001-8657-3800)
- Jing Nie (ORCID: https://orcid.org/0000-0002-3763-9559)
- Jingbin Li (ORCID: https://orcid.org/0000-0003-4264-7024)
Institutions
- Chandigarh University (IN)
- Shihezi University (CN)
- Lovely Professional University (IN)
- University of Jordan (JO)
- University of Warwick (GB)
- Instituto de Telecomunicações (PT)
- China University of Petroleum, East China (CN)
- Graphic Era University (IN)
- Chitkara University (IN)
Publication Details
- Journal
- Journal of Industrial Information Integration
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1016/j.jii.2024.100699
- Citations
- 11
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 6.60
Funders
- National Natural Science Foundation of China