100 entries « 1 of 2 »

2023

Liu, Yuxuan; Hou, Jixin; Li, Changying; Wang, Xianqiao

Intelligent Soft Robotic Grippers for Agricultural and Food Product Handling: A Brief Review with a Focus on Design and Control Journal Article

In: Advanced Intelligent Systems, vol. n/a, no. n/a, pp. 2300233, 2023.

Abstract | Links | BibTeX | Tags: agricultural robots, end-effectors, grasping, grippers, harvesting robots, pick and place, sensors

Lu, Guoyu; Li, Sheng; Mai, Gengchen; Sun, Jin; Zhu, Dajiang; Chai, Lilong; Sun, Haijian; Wang, Xianqiao; Dai, Haixing; Liu, Ninghao; Xu, Rui; Petti, Daniel; Li, Changying; Liu, Tianming; Li, Changying

AGI for Agriculture Journal Article

In: 2023.

Abstract | Links | BibTeX | Tags: 3D reconstruction, AGI, Deep convolutional neural network, deep learning, High-throughput phenotyping, object detection, phenotyping robot, robotics

Saeed, Farah; Sun, Shangpeng; Rodriguez-Sanchez, Javier; Snider, John; Liu, Tianming; Li, Changying

Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks Journal Article

In: Plant Methods, vol. 19, no. 1, pp. 33, 2023, ISSN: 1746-4811.

Abstract | Links | BibTeX | Tags: deep learning, High-throughput phenotyping, LiDAR, machine learning

Herr, Andrew W.; Adak, Alper; Carroll, Matthew E.; Elango, Dinakaran; Kar, Soumyashree; Li, Changying; Jones, Sarah E.; Carter, Arron H.; Murray, Seth C.; Paterson, Andrew; Sankaran, Sindhuja; Singh, Arti; Singh, Asheesh K.

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding Journal Article

In: Crop Science, vol. 63, no. 4, pp. 1722-1749, 2023.

Abstract | Links | BibTeX | Tags: agricultural robot, High-throughput phenotyping, review

Kaur, Navneet; Snider, John L.; Paterson, Andrew H.; Grey, Timothy L.; Li, Changying; Virk, Gurpreet; Parkash, Ved

Variation in thermotolerance of photosystem II energy trapping, intersystem electron transport, and photosystem I electron acceptor reduction for diverse cotton genotypes Journal Article

In: Plant Physiology and Biochemistry, vol. 201, pp. 107868, 2023, ISSN: 0981-9428.

Abstract | Links | BibTeX | Tags: Photosynthesis, Thermotolerance, Thylakoid reactions

Tan, Chenjiao; Li, Changying; He, Dongjian; Song, Huaibo

Anchor-free deep convolutional neural network for tracking and counting cotton seedlings and flowers Journal Article

In: Computers and Electronics in Agriculture, vol. 215, pp. 108359, 2023, ISSN: 0168-1699.

Abstract | Links | BibTeX | Tags: Anchor free, CNN, Counting, Deep convolutional network, High-throughput phenotyping, object detection, Plant and plant organ, Tracking

2022

Xu, Rui; Li, Changying

A review of field-based high-throughput phenotyping systems: focusing on ground robots Journal Article

In: Plant Phenomics, vol. 2022, no. Article ID 9760269, pp. 20, 2022.

Links | BibTeX | Tags: agricultural robot, High-throughput phenotyping, phenotyping robot, review, robotics

Rodriguez-Sanchez, Javier; Li, Changying; Paterson, Andrew

Cotton yield estimation from aerial imagery using machine learning approaches Journal Article

In: Frontiers in Plant Science, vol. 13, 2022.

Links | BibTeX | Tags: High-throughput phenotyping, machine learning

Jiang, Bo; Song, Huaibo; Wang, Han; Li, Changying

Dairy cow lameness detection using a back curvature feature Journal Article

In: Computers and Electronics in Agriculture, vol. 194, iss. 106729, no. 106729, 2022.

Links | BibTeX | Tags:

Petti, Daniel; Li, Changying

Weakly-supervised learning to automatically count cotton flowers from aerial imagery Journal Article

In: Computers and Electronics in Agriculture, vol. 194, pp. 106734, 2022, ISSN: 0168-1699.

Abstract | Links | BibTeX | Tags: Active learning, deep learning, High-throughput phenotyping, machine learning, Multiple-instance learning, Object counting

Xu, Rui; Li, Changying

A modular agricultural robotic system (MARS) for precision farming: Concept and implementation Journal Article

In: Journal of Field Robotics, vol. 39, no. 4, pp. 387-409, 2022.

Abstract | Links | BibTeX | Tags: agricultural robot, High-throughput phenotyping, phenotyping robot

Tan, Chenjiao; Li, Changying; He, Dongjian; Song, Huaibo

Towards real-time tracking and counting of seedlings with a one-stage detector and optical flow Journal Article

In: Computers and Electronics in Agriculture, vol. 193, pp. 106683, 2022, ISSN: 0168-1699.

Abstract | Links | BibTeX | Tags: Cotton seedling, Counting, Deep convolutional neural network, deep learning, machine learning, object detection, Optical flow

Adke, Shrinidhi; Li, Changying; Rasheed, Khaled M.; Maier, Frederick W.

Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery Journal Article

In: Sensors, vol. 22, no. 10, 2022, ISSN: 1424-8220.

Abstract | Links | BibTeX | Tags: deep learning, machine learning

2021

Xu, Rui; Li, Changying; Bernardes, Sergio

Development and Testing of a UAV-Based Multi-Sensor System for Plant Phenotyping and Precision Agriculture Journal Article

In: Remote Sensing, vol. 13, no. 17, 2021, ISSN: 2072-4292.

Abstract | Links | BibTeX | Tags: agricultural robot, High-throughput phenotyping, robotics

Sun, Shangpeng; Li, Changying; Chee, Peng W.; Paterson, Andrew H.; Meng, Cheng; Zhang, Jingyi; Ma, Ping; Robertson, Jon S.; Adhikari, Jeevan

High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection Journal Article

In: Computers and Electronics in Agriculture, vol. 187, pp. 106276, 2021, ISSN: 0168-1699.

Abstract | Links | BibTeX | Tags: High-throughput phenotyping, LiDAR

Virk, Simerjeet; Porter, Wesley; Snider, John; Rains, Glen; Li, Changying; Liu, Yangxuan

Cotton Emergence and Yield Response to Planter Depth and Downforce Settings in Different Soil Moisture Conditions Journal Article

In: AgriEngineering, vol. 3, no. 2, pp. 323–338, 2021, ISSN: 2624-7402.

Abstract | Links | BibTeX | Tags:

Adke, Shrinidhi; von Mogel, Karl Haro; Jiang, Yu; Li, Changying

Instance Segmentation to Estimate Consumption of Corn Ears by Wild Animals for GMO Preference Tests Journal Article

In: Frontiers in Artificial Intelligence, vol. 3, 2021, ISSN: 2624-8212.

Abstract | Links | BibTeX | Tags:

Ni, Xueping; Li, Changying; Jiang, Huanyu; Takeda, Fumiomi

Three-dimensional photogrammetry with deep learning instance segmentation to extract berry fruit harvestability traits Journal Article

In: ISPRS Journal of Photogrammetry and Remote Sensing, vol. 171, pp. 297-309, 2021, ISSN: 0924-2716.

Abstract | Links | BibTeX | Tags: 2D-3D projection, 3D reconstruction, Blueberry traits, deep learning, machine learning, mask R-CNN

2020

Adke, S.; Mogel, K. H. Von; Jiang, Y.; Li, C.

Instance Segmentation to Estimate Consumption of Corn Ears by Wild Animals for GMO Preference Tests Journal Article

In: Frontiers in Artificial Intelligence, vol. 3, no. 119, 2020.

Links | BibTeX | Tags: deep learning, machine learning, mask R-CNN

Jiang, Y.; Li, C.; Xu, R.; Sun, S.; Robertson, J. S.; Paterson, A. H.

DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field Journal Article

In: Plant Methods, vol. 16, no. 156, 2020.

Links | BibTeX | Tags: deep learning, machine learning

Iqbal, Jawad; Xu, Rui; Halloran, Hunter; Li, Changying

Development of a Multi-Purpose Autonomous Differential Drive Mobile Robot for Plant Phenotyping and Soil Sensing Journal Article

In: Electronics, vol. 9, no. 9, pp. 1550, 2020.

Links | BibTeX | Tags: agricultural robot, mobile, phenotyping robot, robotics

Ni, X.; Li, C.; Jiang, H.; Takeda., F.

Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield Journal Article

In: Horticulture Research, vol. 7, no. 1, pp. 1-14, 2020.

Links | BibTeX | Tags: deep learning, machine learning

Iqbal, Jawad; Xu, Rui; Sun, Shangpeng; Li, Changying

Simulation of an autonomous mobile robot for LiDAR-based in-field phenotyping and navigation Journal Article

In: Robotics, vol. 9, no. 2, pp. 46, 2020.

BibTeX | Tags: LiDAR, robotics, simulation

Jiang, Yu; Li, Changying

Convolutional neural networks for image-based high throughput plant phenotyping: A review Journal Article

In: Plant Phenomics, vol. 2020, no. 4152816, 2020.

Links | BibTeX | Tags: CNN, deep learning, machine learning, review

Jiang, Y.; Snider, J. L.; Li, C.; Rains, G. C.; Paterson, A. H.

Ground based hyperspectral imaging to characterize canopy-level photosynthetic activities Journal Article

In: Remote Sensing, vol. 12, no. 2, pp. 315, 2020.

BibTeX | Tags: hyperspectral, SIF

Zhang, M.; Jiang, Y.; Li, C.; Yang, F.

Fully convolutional networks for blueberry bruising and calyx segmentation using hyperspectral transmittance imaging Journal Article

In: Biosystems Engineering, vol. 192, pp. 159-175, 2020.

Links | BibTeX | Tags: deep learning, hyperspectral, machine learning

Sun, S.; Li, C.; Chee, P.; Patersona, A.; Jiang, Y.; Xu, R.; Robertson, J.; Adhikari, J.; Shehzad, T.

Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering Journal Article

In: ISPRS Journal of Photogrammetry and Remote Sensing, vol. 160 , pp. 195-207, 2020.

Links | BibTeX | Tags:

Lu, Renfu; Beers, Robbe Van; Saeys, Wouter; Li, Changying; Cen, Haiyan

Measurement of optical properties of fruits and vegetables: A review Journal Article

In: Postharvest Biology and Technology, vol. 159, pp. 111003, 2020, ISSN: 0925-5214.

Links | BibTeX | Tags:

2019

Jiang, Y.; Li, C.; Paterson, A.; Robertson, J.

DeepSeedling: Deep convolutional network and Kalman filter for plant seedling detection and counting in the field Journal Article

In: Plant Methods, vol. 15, no. 1, pp. 141, 2019.

Links | BibTeX | Tags: deep learning, machine learning

Sun, S.; Li, C.; Paterson, A.; Chee, P.

Image processing algorithms for infield single cotton boll counting and yield prediction Journal Article

In: Computers and Electronics in Agriculture, 2019.

Abstract | Links | BibTeX | Tags:

Jiang, Y.; Li, C.; Takeda, F.; Kramer, E. A.; Ashrafi, H.; Hunter, J.

3D point cloud data to quantitatively characterize size and shape of shrub crops Journal Article

In: Horticulture Research, vol. 6, no. 43, 2019.

Abstract | Links | BibTeX | Tags:

Zhang, M.; Li, C.; Yang, F.

Optical properties of blueberry flesh and skin and Monte Carlo multi-layered simulation of light interaction with fruit tissues Journal Article

In: Postharvest Biology and Technology, vol. 150, pp. 28-41, 2019.

Abstract | Links | BibTeX | Tags:

Xu, R.; Li, C.; Paterson, A. H.

Multispectral imaging and unmanned aerial systems for cotton plant phenotyping Journal Article

In: PLoS One, no. 0205083, 2019.

Abstract | Links | BibTeX | Tags: agricultural robot, robotics

2018

Fan, S.; Li, C.; Huang, W.; Chen, L.

Data fusion of two hyperspectral imaging systems with complementary spectral sensing ranges for blueberry bruising detection Journal Article

In: Sensors, vol. 18, no. 12, pp. 4463, 2018.

Abstract | Links | BibTeX | Tags: hyperspectral

Ozturk, S.; Kong, F.; Singh, R. K.; Kuzy, J. D.; Li, C.; Trabelsi, S.

Dielectric properties, heating rate, and heating uniformity of various seasoning spices and their mixtures with radio frequency heating Journal Article

In: Journal of Food Engineering, vol. 228, pp. 128-141, 2018.

Abstract | Links | BibTeX | Tags:

Sun, S.; Li, C.; Paterson, A. H.; Jiang, Y.; Xu, R.; Roberson, J.; Snider, J.; Chee, P.

In-field high throughput phenotyping and cotton plant growth analysis using LiDAR Journal Article

In: Frontiers in Plant Sciences, 9, 16, 2018.

Abstract | Links | BibTeX | Tags: High-throughput phenotyping

2017

Xu, R.; Li, C.; Paterson, A. H.; Jiang, Y.; Sun, S.; Roberson, J.

Aerial Images and Convolutional Neural Network for Cotton Bloom Detection Journal Article

In: Frontiers in Plant Sciences, 8, 2235, 2017.

Abstract | Links | BibTeX | Tags: deep learning, High-throughput phenotyping, machine learning

Jiang, Y.; Li, C.; Paterson, A. H.; Sun, S.; Xu, R.; Roberson, J.

Quantitative Analysis of Cotton Canopy Size in Field Conditions Using a Consumer-Grade RGB-D Camera Journal Article

In: Frontiers in Plant Sciences, 8, 2233, 2017.

Abstract | Links | BibTeX | Tags: High-throughput phenotyping

Jiang, Y.; Li, C.; Robertson, J. S.; Sun, S.; Xu, R.; Paterson, A. H.

GPhenoVision: A Ground Mobile System with Multi-modal Imaging for Field-Based High Throughput Phenotyping of Cotton Journal Article

In: Scientific Reports, 8(1), 1213, 2017.

Abstract | Links | BibTeX | Tags: High-throughput phenotyping

Patrick, A.; Li, C.

High Throughput Phenotyping of Blueberry Bush Morphological Traits Using Unmanned Aerial Systems Journal Article

In: Remote Sensing, 9(12), 1250, 2017.

Abstract | Links | BibTeX | Tags: agricultural robot, High-throughput phenotyping, phenotyping robot, robotics

Kuzy, J. D.; Jiang, Y.; Li, C.

Blueberry bruise detection by pulsed thermographic imaging Journal Article

In: Postharvest Biology and Technology, 136, 166-177, 2017.

Abstract | Links | BibTeX | Tags: thermography

Gallardo, R. K.; Stafne, E. T.; DeVetter, L. W.; Zhang, Q.; Li, C.; Takeda, F.; Williamson, J.; Yan, W.; Beaudry, R.; Cline, W.; Allen, R.

Blueberry producers’ attitudes toward harvest mechanization for fresh market Journal Article

In: Hort Technology, 28(1), 10-16, 2017.

Abstract | Links | BibTeX | Tags:

Zhang, M.; Li, C.; Takeda, F.; Yang, F.

Detection of internally bruised blueberries using hyperspectral transmittance imaging Journal Article

In: Transactions of ASABE, 60(5), 1489-1502, 2017.

Abstract | Links | BibTeX | Tags: hyperspectral

Fan, S.; Li, C.; Huang, W.; Chen, L.

Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths Journal Article

In: Postharvest Biology and Technology, 134, 55-66, 2017.

Abstract | Links | BibTeX | Tags: hyperspectral

Zhang, M.; Li, C.; Yang, F.

Classification of Foreign Matter Embedded inside Cotton Lint using Short Wave Infrared (SWIR) Hyperspectral Transmittance Imaging Journal Article

In: Computers and Electronics in Agriculture, 139, 75-90, 2017.

Abstract | Links | BibTeX | Tags: hyperspectral

Ozturk, S.; Kong, F.; Singh, R. K.; Kuzy, J. D.; Li, C.

Radio frequency heating of corn flour: Heating rate and uniformity Journal Article

In: Innovative Food Science & Emerging Technologies, 44, 191-201, 2017.

Abstract | Links | BibTeX | Tags:

Takeda, F.; Yang, W.; Li, C.; Freivalds, A.; Sung, K.; Xu, R.; Hu, B.; Williamson, J.; Sargent, S.

Applying New Technologies to Transform Blueberry Harvesting Journal Article

In: Agronomy, 7(2), 33, 2017.

Abstract | Links | BibTeX | Tags:

Sun, S.; Li, C.; Paterson, A. H.

In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR Journal Article

In: Remote Sensing, 9(4), 377, 2017.

Abstract | Links | BibTeX | Tags: High-throughput phenotyping

Kuzy, J. D.; Li, C.

A Pulsed Thermographic Imaging System for Detection and Identification of Cotton Foreign Matter Journal Article

In: Sensors, 17(3), 518, 2017.

Abstract | Links | BibTeX | Tags: thermography

Patrick, A.; Pelham, S.; Culbreath, A.; Holbrook, C.; Godoy, I. J. d.; Li, C.

High Throughput Phenotyping of Tomato Spot Wilt Disease in Peanuts Using Unmanned Aerial Systems and Multispectral Imaging Journal Article

In: IEEE Instrumentation & Measurement Magazine, 20(3), 4-12, 2017.

Abstract | Links | BibTeX | Tags: agricultural robot, High-throughput phenotyping, phenotyping robot, robotics

100 entries « 1 of 2 »