A review on weed detection using ground-based machine vision and image processing techniques
A Wang, W Zhang, X Wei - Computers and electronics in agriculture, 2019 - Elsevier
Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …
electronic and information technologies, machine vision combined with image processing …
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer–a case study of small farmlands in the South of China
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …
precision management, policy and decision making, and marketing. The aim of this study is …
A survey of image processing techniques for plant extraction and segmentation in the field
In this review, we present a comprehensive and critical survey on image-based plant
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
Evaluation of support vector machine and artificial neural networks in weed detection using shape features
A Bakhshipour, A Jafari - Computers and Electronics in Agriculture, 2018 - Elsevier
Weed detection is still a challenging problem for robotic weed removal. Small tolerance
between the cutting tine and main crop position requires highly precise discrimination of the …
between the cutting tine and main crop position requires highly precise discrimination of the …
A low shot learning method for tea leaf's disease identification
G Hu, H Wu, Y Zhang, M Wan - Computers and Electronics in Agriculture, 2019 - Elsevier
Tea leaf's diseases seriously affect the yield and quality of tea. This paper presents a low
shot learning method for tea leaf's disease identification in order to prevent and control tea …
shot learning method for tea leaf's disease identification in order to prevent and control tea …
Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV
Mapping vegetation in crop fields is an important step in remote sensing applications for
precision agriculture. Traditional aerial platforms such as planes and satellites are not …
precision agriculture. Traditional aerial platforms such as planes and satellites are not …
State of major vegetation indices in precision agriculture studies indexed in web of science: A review
Vegetation indices provide information for various precision-agriculture practices, by
providing quantitative data about crop growth and health. To provide a concise and up-to …
providing quantitative data about crop growth and health. To provide a concise and up-to …
Unmanned aircraft system (UAS) technology and applications in agriculture
SC Hassler, F Baysal-Gurel - Agronomy, 2019 - mdpi.com
Numerous sensors have been developed over time for precision agriculture; though, only
recently have these sensors been incorporated into the new realm of unmanned aircraft …
recently have these sensors been incorporated into the new realm of unmanned aircraft …
Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system
Canopy height (H canopy) and aboveground biomass (AGB) of crops are two basic agro-
ecological indicators that can provide important indications on the growth, light use …
ecological indicators that can provide important indications on the growth, light use …