5 citations · 13 across the 8 of their papers we have counts for
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A100: A Hybrid Vision Foundation Model for Agricultural Plant Image Analysis
Mayur Pratim Das, Ajai Dubey, Aksshay Mathew P +5
The use of accurate vision models for crop monitoring, disease diagnosis, and plant phenotyping in agriculture is hindered by the lack of expertly annotated data, especially in dev…
MCLC-NET: Multimodal Continual Learning for Leaf Counting
Ruchi Bhatt, Pratibha Kumari, Shreya Bansal +3
Leaf counting is an important task in plant phenotyping for monitoring plant growth and estimating crop yield. Most existing methods rely on RGB images, but their performance is of…
Evaluating Mesh Reconstruction Methods for Crop Phenotyping
Karanvir Singh, Theo Morales, Binh-Son Hua +1
Phenotyping an agricultural crop is crucial for studying its entire life cycle, as it provides vital insights to improve yield and, ultimately, food production. Doing the same for…