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WeedsNet: a dual attention network with RGB-D image for weed detection in natural wheat field
For weed detection in wheat field, it is difficult to identify weeds against the complex field background using single-modal red–green–blue (RGB)...
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RGB image-based method for phenoty** rust disease progress in pea leaves using R
BackgroundRust is a damaging disease affecting vital crops, including pea, and identifying highly resistant genotypes remains a challenge. Accurate...
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Soybean leaf estimation based on RGB images and machine learning methods
BackgroundRGB photographs are a powerful tool for dynamically estimating crop growth. Leaves are related to crop photosynthesis, transpiration, and...
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Adaptiveness of RGB-image derived algorithms in the measurement of fractional vegetation coverage
BackgroundFractional vegetation coverage (FVC) is a crucial parameter in determining vegetation structure. Automatic measurement of FVC using digital...
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Microalgal biomass quantification from the non-invasive technique of image processing through red–green–blue (RGB) analysis
Continuous monitoring of biomass concentration in microalgae cultures is essential and one of the most important parameters to measure in this field....
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Estimating maize seedling number with UAV RGB images and advanced image processing methods
Accurately identifying the quantity of maize seedlings is useful in improving maize varieties with high seedling emergence rates in a breeding...
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Triticale field phenoty** using RGB camera for ear counting and yield estimation
Triticale ( X Triticosecale Wittmack), a wheat-rye small grain crop hybrid, combines wheat and rye attributes in one hexaploid genome. It is...
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End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images
Crop yield prediction from UAV images has significant potential in accelerating and revolutionizing crop breeding pipelines. Although convolutional...
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Estimation of aboveground biomass and carbon stocks of Quercus ilex L. saplings using UAV-derived RGB imagery
Key messageCrown area, sapling height, and biovolume extracted from UAV-acquired RGB images provided accurate estimates of aboveground biomass and...
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Growth monitoring of field-grown onion and garlic by CIE L*a*b* color space and region-based crop segmentation of UAV RGB images
Canopy coverage-based crop growth monitoring is highly dependent on the performance of crop segmentation algorithms. Under field conditions, crop...
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Leaf area index estimations by deep learning models using RGB images and data fusion in maize
The leaf area index (LAI) is a biophysical crop parameter of great interest for agronomists and plant breeders. Direct methods for measuring LAI are...
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Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning
Accurately and economically estimated crop above-ground biomass (AGB) and bean yield (BY) are critical for cultivation management in precision...
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High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion
BackgroundLeaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the...
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Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector
Pests cause heavy crop losses, so it is vital to conduct early pest management and control in precision agriculture. In general, pest monitoring is a...
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Image analysis and polyphenol profiling unveil red-flesh apple phenotype complexity
BackgroundThe genetic basis of colour development in red-flesh apples ( Malus domestica Borkh) has been widely characterised; however, current models...
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Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion
BackgroundVerticillium wilt is the major disease of cotton, which would cause serious yield reduction and economic losses, and the identification of...
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Fast reconstruction method of three-dimension model based on dual RGB-D cameras for peanut plant
BackgroundPlant shape and structure are important factors in peanut breeding research. Constructing a three-dimension (3D) model can provide an...
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Image-based plant wilting estimation
BackgroundEnvironmental stress due to climate or pathogens is a major threat to modern agriculture. Plant genetic resistance to these stresses is one...
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A short review of RGB sensor applications for accessible high-throughput phenoty**
Present challenge on high-throughput phenoty** is the major task for food production. However, many researchers have issues on operating prompt...
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Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images
BackgroundThe flowering period is a critical time for the growth of rape plants. Counting rape flower clusters can help farmers to predict the yield...
