AI-Assisted Species-Level Identification for Tree and Crop Assessment

I&T Wish AI-Assisted Species-Level Identification for Tree and Crop Assessment
(REF: W-0612)
Matched I&T Solution
Trial Project
Summary and Challenges We are seeking an AI-assisted solution capable of species-level identification of trees and crops to support field crop assessments for ex-gratia allowance applications in land resumption projects. The aim is to improve efficiency and accuracy.

Current fieldwork for crop assessment typically involves boundary coordination, on-site inspection and documentation, verification with claimants, and judgment on species identification and assessment parameters (e.g. size/height, density, planting pattern, and grading). This process is labor-intensive and reliable species identification requires trained officers on-site.

Key constraints include seasonal variation (e.g. deciduous species losing leaves in winter), complex environments (mixed planting, steep slopes, uneven terrain), and variable weather and lighting conditions that reduce accuracy and reliability.
Expected Outcome We expect imagery- or sensor-based techniques to capture botanical features in complex field environments, supported by an AI-enabled solution that can identify tree and crop species under real Hong Kong field conditions.

If identification confidence is uncertain, any time saved is often offset by revisits, verification, and dispute handling. Therefore, the solution must provide confidence scores and clear reasoning that can withstand audit and dispute scrutiny.
Expected Trial Duration 3-month
Contact Information
I&T Wish Proposer:Agriculture, Fisheries and Conservation Department (AFCD)
Contact Person:Mr. Ling
Position:Agricultural Officer
Tel:21507002
Email: ka_ho_ling@afcd.gov.hk
Upload Date 2026-08-24
Closing Date 2026-10-05
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