Precision agriculture (PA) stands out as an innovative way to manage production resources,
increasing the efficiency and the socioeconomic and environmental sustainability of …

On-farm experimentation (OFE) embeds the conduct of agronomic research within normal
farm business operations such that experiments are driven by farmers' needs for business …

Timely and cost-effective crop yield prediction is vital in crop management decision-making.
This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation …

为探究我国智慧农业未来发展的目标, 任务与政策, 本文基于系统工程学视角,
阐释了智慧农业的概念与内涵, 介绍了国外智慧农业相关战略布局与行动计划 …

Abstract Machine learning (ML) and its branch, deep learning (DL), is rapidly evolving and
gaining popularity as it outperforms other, more traditional methods in different areas of …

The optimal nitrogen (N) application rate is an important concept to guide the strategic/static
N management of crops. However, there is still a knowledge gap on how to combine the …

During the past few decades, a range of digital strategies for Nitrogen (N) management
using various types of input data and recommendation frameworks have been developed …

Low grain protein in hard red winter (HRW) wheat (Triticum aestivum L.) is a serious
challenge for rainfed wheat growers, particularly in years with elevated grain yield. Proper …

Timely and accurate estimation of plant nitrogen (N) status is crucial to the successful
implementation of precision N management. It has been a great challenge to non …

The development of agricultural farming has evolved from traditional agricultural machinery
due to its efficiency and autonomy. Intelligent agricultural machinery is capable of …