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Browse by Author: Jing Zhang
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Fundamentals of Precision Agriculture for Vegetable Crops

By: Emmanuel Torres Quezada, Jing Zhang

Precision agriculture (PA), often referred to as "smart farming" or "precision farming," represents a transformative paradigm shift in the field of horticultural sciences, particularly when applied to vegetable cultivation. The fundamentals of PA involve site-specific management of inputs such as water, fertilizer, and pesticides. Nowadays, PA leverages advances in remote sensing, robotics, and data science to optimize crop production, enhance both yield and resource efficiency, and minimize environmental impacts. This article introduces PA technologies and recent advances, along with the potential benefits they bring to vegetable production. It also provides considerations for growers interested in adopting PA technologies in their operations.

Supporting In-Season Blueberry Yield and Maturity Estimation Using Computer Vision Model and Field Images

By: Jing Zhang, Bruce McLean, Cody Craddock, Gabriella de Souza, Sarah Dinger

This publication discusses the results of field testing of an image-based application designed to estimate blueberry yield and maturity from field images. Testing was conducted through the N.C. Plant Sciences Initiative Extension Agent Network and included a wide variety of commercial blueberry farms.