Asher Bender
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Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation Open
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. Despite much research, the benefits accrued from such technology ha…
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review Open
Weeds are a significant threat to agricultural productivity and the environment. The increasing demand for sustainable weed control practices has driven innovative developments in alternative weed control technologies aimed at reducing the…
Image‐based weed recognition and control: Can it select for crop mimicry? Open
As highly adaptable plants, weeds have evolved numerous mechanisms to evade control in agroecosystems. For example, reliance on herbicides has resulted in widespread evolution of resistance in many species. Minimising weed adaptation is a …
A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield Open
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 agriculture. However, ML and DL techniques must be correctly appli…
Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems Open
The past 50 yr of advances in weed recognition technologies have poised site-specific weed control (SSWC) on the cusp of requisite performance for large-scale production systems. The technology offers improved management of diverse weed mo…
Deep Learning Techniques for In-Crop Weed Identification: A Review Open
Weeds are a significant threat to the agricultural productivity and the environment. The increasing demand for sustainable agriculture has driven innovations in accurate weed control technologies aimed at reducing the reliance on herbicide…
View article: Ladybird Cobbitty 2017 Brassica Dataset
Ladybird Cobbitty 2017 Brassica Dataset Open
This data set contains weekly scans of cauliflower and broccoli covering a ten week growth cycle from transplant to harvest. The data set includes ground-truth, physical characteristics of the crop; environmental data collected by a weathe…
Improved Cross-Ratio Invariant-Based Intrinsic Calibration of A Hyperspectral Line-Scan Camera Open
Hyperspectral line-scan cameras are increasingly being deployed on mobile platforms operating in unstructured environments. To generate geometrically accurate hyperspectral composites, the intrinsic parameters of these cameras must be reso…