Developing a Web-based Pistachio Nut Growth Prediction System for Orchard Management

Author:

Zhang Lu1,Ferguson Louise2,Ying Liyu2,Lyons Andy2,Laca Emilio2,Ampatzidis Yiannis3

Affiliation:

1. Department of Horticulture and Landscape Architecture, Oklahoma State University, 358 Agricultural Hall, Stillwater, OK 74078, USA

2. Department of Plant Sciences, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA

3. Department of Agricultural and Biological Engineering, Southwest Florida Research and Education Center, University of Florida, 2685 FL-29, Immokalee, FL 34142, USA

Publisher

American Society for Horticultural Science

Subject

Horticulture

Reference38 articles.

1. Laboratory and UAV-based identification and classification of tomato yellow leaf curl, bacterial spot, and target spot diseases in tomato utilizing hyperspectral imaging and machine learning;Abdulridha J,2020a

2. Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence;Abdulridha J,2020b

3. iPathology: Robotic applications and management of plants and plant diseases;Ampatzidis Y,2017

4. Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence;Ampatzidis Y,2020

5. Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence;Ampatzidis Y,2019

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