The remarkable developments in computer vision and machine learning have changed the
methodologies of many scientific disciplines. They have also created a new research field in …

We present a new large-scale three-fold annotated microscopy image dataset, aiming to
advance the plant cell biology research by exploring different cell microstructures including …

Introduction Mean xylem vessel or tracheid area have been demonstrated to represent
powerful proxies to better understand the response of woody plants to changing climatic …

Xylem is a vascular tissue that conducts sap (water and dissolved minerals) from the roots to
the rest of the plant while providing physical support and resources. Sap is conducted within …

Forests are critical in the terrestrial carbon cycle, and the knowledge of their response to
ongoing climate change will be crucial for determining future carbon fluxes and climate …

Ecological data are collected and shared at an increasingly rapid pace, but it is often shared
in inconsistent and untraceable processed forms. Images of wood contain a wealth of …

This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of
potato tubers for plant cell analysis in deep learning (DL) framework which has huge …

Water is often overused in irrigation, making efficient management of it crucial. Precision
Agriculture emphasizes tools like stem water potential (SWP) analysis for better plant status …

Wood identification can be done by image recognition or classification. The main idea is that
the proposed model is independent in terms of number of input features and/or images. We …

The role that deep learning plays in modern life is undeniably essential. It is also certain that
deep learning, with its various approaches, is contributing significantly to plant science …