Plant disease is one of the major problems in agriculture. Diseases damage plants, reduce yields and lower quality produce. Traditional approaches to detecting plant diseases are usually based on visual inspection laboratory testing, which can be expensive time-consuming. They require trained pathologists as well specialised equipment. Several studies demonstrate that artificial intelligence (AI) methods produce promising results. However, AI generally data-hungry large annotated datasets,...

Aphids are persistent insect pests that severely impact agricultural productivity. The detection of aphid infestations is critical for mitigating their effects. This paper presents an artificial intelligence approach to detect aphids in crop images captured by consumer-grade RGB imaging cameras. In addition detecting the presence aphids, size important indicator infestation severity. To address these, we present a Bayesian multi-task learning model and estimate simultaneously. Our employs...

Wheat (Triticum aestivum) quality is mainly determined by grain storage protein compositions. Sulphur availability essential for the biosynthesis of main wheat proteins. In this study, impact different sulphur fertilizer regimes on a range agronomically important traits and associated gene networks was studied. High-performance liquid chromatography used to analyse compositions grains grown under four treatments. Results revealed that supplementation had significant effect yield, harvest...

Digital agriculture is exciting attention because of an expectation that food systems will be disrupted by new digital technologies through improvements in precision, efficiency, volume, speed process or identity product. This against the background drive for sustainability systems. A diversity technology applications unilaterally emerging all chains with benefits realized human acceptance and adoption business processes. paper focuses on Australia but lessons apply to globally. We propose...

Abstract Two challenges that the global wheat industry is facing are a lowering nitrogen-use efficiency (NUE) and an increase in reporting of wheat-protein related health issues. Sulphur deficiencies soil has also been reported as issue. The current study used large-scale field glasshouse experiments to investigate sulphur fertilization impacts on deficient soil. Here we show addition increased NUE by more than 20% through regulating glutamine synthetase. Alleviating deficiency highly...

Context Insects are a major threat to crop production. They can infect, damage, and reduce agricultural yields. Accurate fast detection of insects will help insect control. From computer algorithm point view, from imagery is tiny object problem. Handling objects in large datasets challenging due small resolution the an image, other nuisances such as occlusion, noise, lack features. Aims Our aim was achieve high-performance detector using enhanced artificial intelligence machine learning...

Nutrient monitoring in Micro Indoor Smart Hydroponics (MISH) relies on measuring electrical conductivity or total dissolved solids to determine the amount of nutrients a hydroponic solution. Neither method can distinguish concentrations individual nutrients. This study presents development and testing novel spectroscopic sensor system monitor nitrogen changes nutrient solutions for MISH systems. The design phase determined that using an inexpensive AS7265x Internet Thing (IoT) transflective...

Weeds can decrease yields and the quality of crops. Detection, localisation, classification weeds in crops are crucial for developing efficient weed control management systems. Deep learning (DL) based object detection techniques have been applied various applications. However, such generally need appropriate datasets. Most available datasets only offer image-level annotation, i.e., each image is labelled with one species. practice, multiple (and crop) species and/or instances Consequently,...

In a prospective, longitudinal, population-based cohort study of familial and environmental influences on the development wheezing respiratory illness in early childhood, we identified infant length, weight, gender, exposure to maternal cigarette smoking as significant determinants lung function during first year life. A 237 infants (106 females: 131 males) was evaluated, 496 measurements were made between ages 1-12 months. Respiratory assessed using rapid thoracic compression technique...

To conduct a cross-sectional, community-based, point prevalence study of inflammatory joint disease and other rheumatic disorders in 12-year-old children metropolitan community.After completion pilot 816 10-year-old children, cross-sectional was performed 2 years later on randomized sample 2241 (including the cohort from study) community approximately 221 700 aged 12 or younger, with 17 300 years. A rheumatologic examination each child by single observer after perusal completed...

Late maturity α-amylase (LMA) and pre-harvest sprouting (PHS) are both recognized as environmentally induced grain quality defects resulting from abnormally high levels of α-amylase. LMA is a more recently identified issue that now receiving increasing attention worldwide whose prevalence seen impeding the development superior wheat varieties. genetic defect present in specific genotypes characterized by elevated pI TaAMY1 α-amylase, triggered environmental stress during development. remains...

Summary In wheat ( Triticum aestivum ) grain yield and protein content are negatively correlated, making the simultaneous increase of two traits challenging. Apart from genetic approaches, modification nitrogen fertilization offers a feasible option to achieve this aim. study, range related nitrogen‐use efficiency in six Australian bread varieties were investigated under different treatments using 3‐year multisite field trials. Changes individual storage composition detected by...

Barley (Hordeum vulgare L.) is a major cereal grain widely used for livestock feed, brewing malts and human food. Grain yield the most important breeding target genetic improvement largely depends on optimal timing of flowering. Little known about allelic diversity genes that underlie flowering time in domesticated barley, changes have occurred during breeding, their impact adaptation. Here, we report comprehensive genomic assessment worldwide collection 895 barley accessions based targeted...

Context Most weed species can adversely impact agricultural productivity by competing for nutrients required high-value crops. Manual weeding is not practical large cropping areas. Many studies have been undertaken to develop automatic management systems In this process, one of the major tasks recognise weeds from images. However, recognition a challenging task. It because and crop plants be similar in colour, texture shape which exacerbated further imaging conditions, geographic or weather...

Frost damage is one of the major concerns for crop growers as it can impact growth plants and hence, yields. Early detection frost help farmers mitigating its impact. In past, was a manual or visual process. Image-based techniques are increasingly being used to understand development in automatic assessment resulting from frost. This research presents comprehensive survey state-of the-art methods applied detect analyse stress plants. We identify three broad computational learning approaches...

Abstract Low‐power localisation systems are crucial for machine‐to‐machine communication technologies. This article investigates LoRa technology using multiple features of the received signal, such as Received Signal Strength Indicator (RSSI), Spreading Factors (SF), and to Noise Ratio (SNR). A novel range‐based technique estimate distance a target node from gateway machine‐learning models that incorporates SF, SNR, RSSI train is proposed. modified trilateration approach then used localise...

Frost damage significantly reduces global wheat production. Temperature development in crops is a complex and dynamic process. During frost events, vertical temperature gradient develops from soil to canopy due the heat loss boundary. Understanding these gradients essential for improving management strategies crops. We hypothesise that relationship between temperatures of canopy, plant ground can be an early indicator frost. collected infrared thermal (IRT) images field-grown extracted...

Abstract Objective— To test whether the introduction of Doppler waveform analysis into ultrasound department a tertiary level hospital reduces neonatal morbidity and improves obstetric management. Design— A randomized controlled trial. Setting— Department Ultrasound, King Edward Memorial Hospital, Perth, Western Australia. Subjects— 505 women with pregnancy abnormalities referred to an for fetal investigation during third trimester. Intervention— Continuous wave studies umbilical...

Previous research has not considered the effect of high amylose wheat noodles on postprandial glycaemia. The aim study is to investigate consumption glycaemia over 2-h periods by monitoring changes in blood glucose concentration and calculating total area under curve. Twelve healthy young adults were recruited a repeated measure randomised, single-blinded crossover trial compare consuming (180 g) containing 15%, 20% 45% Fasting concentrations taken via finger-prick samples. Postprandial at...

Accurate classification of weed species in crop plants plays a crucial role precision agriculture by enabling targeted treatment. Recent studies show that artificial intelligence deep learning (DL) models achieve promising solutions. However, several challenging issues, such as lack adequate training data, inter-class similarity between and intra-class dissimilarity the images same at different growth stages or for other reasons (e.g., variations lighting conditions, image capturing...

Optimising nitrogen fertiliser management in combination with using high efficient wheat cultivars is the most effective strategy to maximise productivity a cost-efficient manner. The present study was designed investigate associations between utilisation efficiency (NUtE) and allelic composition of NAM genes Australian cultivars. As results, non-functional NAM-B1 allele more responsive levels increased NUtE significantly, leading higher grain yield but reduced protein content. Nitrogen...