In the face of increasing agricultural demands and environmental concerns, the effective
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …

Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …

Modern agriculture incorporated a portfolio of technologies to meet the current demand for
agricultural food production, in terms of both quality and quantity. In this technology-driven …

Abstract Machine vision-based precision herbicide application in wheat (Triticum aestivum
L.) can substantially reduce herbicide input. However, detecting newly emerged weeds in …

The major cause of plant mortality and devastation, particularly among trees is plant
diseases. This problem, however, may be handled and treated effectively through early …

High‐throughput crop phenoty**, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenoty** not only facilitates …

Automation of agricultural food production is growing in popularity in scientific communities
and industry. The main goal of automation is to identify and detect weeds in the crop. Weed …

The multi-layer structures of Deep Learning facilitate the processing of higher-level
abstractions from data, thus leading to improved generalization and widespread …

Plant stress is one of the most significant factors affecting plant fitness and, consequently,
food production. However, plant stress may also be profitable since it behaves hormetically; …

In the present systematic review we identified and summarised current research activities in
the field of time series forecasting and imputation with the help of generative adversarial …