1 citations · 2 across the 8 of their papers we have counts for
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Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks
Venkat Margapuri, Prapti Thapaliya, Mitchell Neilsen
High-throughput phenotyping (HTP) of seeds, also known as seed phenotyping, is the comprehensive assessment of complex seed traits such as growth, development, tolerance, resistanc…
Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering
Venkat Margapuri, Trevor Rife, Chaney Courtney +3
A common requirement of plant breeding programs across the country is companion planting -- growing different species of plants in close proximity so they can mutually benefit each…
Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery
Venkat Margapuri, Niketa Penumajji, Mitchell Neilsen
Plant breeding programs extensively monitor the evolution of seed kernels for seed certification, wherein lies the need to appropriately label the seed kernels by type and quality.…
Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks
Venkat Margapuri, Mitchell Neilsen
The first step toward Seed Phenotyping i.e. the comprehensive assessment of complex seed traits such as growth, development, tolerance, resistance, ecology, yield, and the measurem…
Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning
Venkat Margapuri, Mitchell Neilsen
Seed phenotyping is the idea of analyzing the morphometric characteristics of a seed to predict the behavior of the seed in terms of development, tolerance and yield in various env…