Strawberry powdery mildew (PM) is the main disease affecting yield and quality of strawberries in recent years, which always appears on back side leaves early stage. Traditional methods detection are labor-intensive time-consuming. In this paper, we proposed a computer vision algorithm for strawberry leaf PM infected (IL) complex background. Then additionally estimation index assessment. The original YOLOv4 backbone neck replaced by with depthwise convolution hybrid attention mechanism,...

Considering that the occurrence and spread of diseases are closely related to planting environment, a tomato disease diagnosis method based on Multi-ResNet34 multi-modal fusion learning residual is proposed for problem limited recognition rate single RGB image disease. Based ResNet34 backbone network, this paper introduces transfer speed up training, reduce data dependencies, prevent overfitting due small amount sample data; it also integrates multi-source (tomato environmental parameters)....

Abstract: For the rapid and accurate identification of cow reproduction healthy behavior from mass surveillance video, in this study, 400 head young cows lactating were taken as research object analyzed dairy activity area milk hall ramp. The method recognition based on image entropy was proposed, aiming at motional against a complex background. Calculating minimum bounding box contour mapping used for real-time capture rutting span hoof or back characteristics. Then, by combining continuous...

The range measurement is the premise for location, and precise assurance of accurate location. Hence, it essential to know internode distance. It noted that path loss model plays an important role in improving quality reliability ranging accuracy. Therefore, necessary investigate actual propagation environment. Through analysis experiments performed at wheat field, we find best fitted parametric exponential decay (OFPEDM) can achieve a higher distance estimation accuracy adaptability...

The labor shortage and rising costs in the greenhouse industry have driven development of automation, with core autonomous operations being positioning navigation technology. However, precise complex environments narrow aisles poses challenges to localization technologies. This study proposes a multi-sensor fusion robot based on ultra-wideband (UWB), an inertial measurement unit (IMU), odometry (ODOM), laser rangefinder (RF). system introduces confidence optimization algorithm weakening...

Poppy is a special medicinal plant. Its cultivation requires legal approval and strict supervision. Unauthorized of opium poppy forbidden. Low-altitude inspection illegal through unmanned aerial vehicle featured with the advantages time-saving high efficiency. However, large amount image data collected need to be manually screened analyzed. This process not only consumes lot manpower material resources, but also subjected omissions errors. In response such problem, this paper proposed an...

In order to integrate fragmented text data of crop disease knowledge solve the current problems disordered management, weak correlation and difficulty in sharing, a Chinese named-entity–relation-extraction model for diseases (BBCPF) was proposed this paper by utilizing advantage graph describing complex relations between entities structured form. This composed two parts, i.e., named-entity recognition relation extraction, form an assembly line. To deal with different meanings terms contexts...

The governance of rural living environments is one the important tasks in implementation a revitalization strategy. At present, illegal behaviors random construction and storage public spaces have seriously affected effectiveness environments. current supervision on such problems mainly relies manual inspection. Due to large number wide distribution areas be inspected, this method limited by obvious disadvantages, as low detection efficiency, long-time spending, huge consumption human...

Wireless sensor network nodes have limited energy, how to employ energy efficiently realize effective data transmission has become a hot topic. Considering the characteristics of orchard planting in rows and shade caused by sparse random features, improve efficiency wireless prolong lifetime, we propose an improved chain-based clustering hierarchical routing (ICCHR) algorithm based on LEACH algorithm. The ICCHR investigates formation clusters, cluster head election, chain as well process,...

The disease image recognition models based on deep learning have achieved relative success under limited and restricted conditions, but such are generally subjected to the shortcoming of weak robustness. model accuracy would decrease obviously when recognizing images with complex backgrounds field conditions. Moreover, most only involve characterization visual information in form, while expression other modal rather than form is often ignored. present study targeted main invasive diseases...

In view of the differences in appearance and complex backgrounds crop diseases, automatic identification field diseases is an extremely challenging topic smart agriculture. To address this challenge, a popular approach to design Deep Convolutional Neural Network (DCNN) model that extracts visual disease features images then identifies based on extracted features. This performs well under simple background conditions, but has low accuracy poor robustness backgrounds. paper, end-to-end...

It is an urgent task to improve the applicability of cucumber disease classification model in greenhouse edge-intelligent devices. The energy consumption diagnosis models designed based on deep learning methods a key factor affecting its applicability. Based this motivation, two reducing model’s calculation amount and changing method feature extraction were used study reduce consumption, thereby prolonging working time edge devices deployed with models. First, dataset complex backgrounds...