Monitoring Station for Agriculture Image Acquisition and Automatic Information about Plant

Abstract

Abstract The present work deals with Computer Vision precision in the agriculture domain designed to monitor the height variation of plants (h) and the percentage of Ground Cover (PGC). It brings together electronics and Computer Vision. the electronic part consists of two sensors: the first is the DHT11 sensor, which will monitor environmental parameters (temperature, humidity), and the second sensor is a camera (5 MP Raspberry Pi Camera Module Rev 1.3) which monitors the image acquisition to capture visual information about plants and Raspberry Pi 4 as the central processing unit for environmental data. For the Computer Vision part we have developed an algorithm able to do the acquisition and the segmentation of images acquired using Raspberry Pi 4 in real time.

Plant phenotyping relevance

植物の高さと地被率を画像取得・セグメンテーションで推定する監視システムおよびアルゴリズムが中心であり、植物フェノタイピング手法として適格です。

Code and data availability

The paper's wheat-field images, PGC/height measurements, and segmentation algorithm are not publicly deposited; the authors state derived data are available from the corresponding author on request.

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