The world wine sector is a multi-billion dollar industry with wide range of economic activities. Therefore, it becomes crucial to monitor the grapevine because allows more accurate estimation yield and ensures high-quality end product. most common way monitoring through leaves (preventive way) since first manifest biophysical lesions. However, this does not exclude possibility lesions manifesting in grape berries. Thus, work presents three pre-trained YOLO models (YOLOv5x6, YOLOv7-E6E,...

The efficiency of agricultural practices depends on the timing their execution. Environmental conditions, such as rainfall, and crop-related traits, plant phenology, determine success irrigation. Moreover, seasonal biological events (e.g., cotyledon emergence), is strongly influenced by genetic, environmental, management conditions. Therefore, assessing crops’ phenological spatiotemporal variability can improve decision making, allowing thorough planning timely execution operations....

Mobile robotics in forests is currently a hugely important topic due to the recurring appearance of forest wildfires. Thus, in-site management inventory and biomass required. To tackle this issue, work presents study on detection at ground level tree trunks visible thermal images using deep learning-based object methods. For purpose, forestry dataset composed 2895 was built made publicly available. Using dataset, five models were trained benchmarked detect trunks. The selected SSD...

The development of robotic solutions in unstructured environments brings several challenges, mainly developing safe and reliable navigation solutions. Agricultural are particularly and, therefore, challenging to the implementation robotics. An example this is mountain vineyards, built-in steep slope hills, which characterized by satellite signal blockage, terrain irregularities, harsh ground inclinations, others. All these factors impose precise algorithms, so that robots can operate safely....

Object identification, such as tree trunk detection, is fundamental for forest robotics. Intelligent vision systems are of paramount importance in order to improve robotic perception, thus enhancing the autonomy robots. To that purpose, this paper presents three contributions: an open dataset 5325 annotated images; a detection Edge AI benchmark between 13 deep learning models evaluated on four edge-devices (CPU, TPU, GPU and VPU); mapping experiment using OAK-D sensing device. The results...

Robotics navigation and perception for forest management are challenging due to the existence of many obstacles detect avoid sharp illumination changes. Advanced systems needed because they can enable development robotic machinery solutions accomplish a smarter, more precise, sustainable forestry. This article presents state-of-the-art review about unimodal multimodal in forests, detailing current developed work using single type sensors (unimodal) by combining data from different kinds...

Smart and precision agriculture concepts require that the farmer measures all relevant variables in a continuous way processes this information order to build better prescription maps predict crop yield. These feed machinery with variable rate technology apply correct amount of products right time place, improve farm profitability. One most estimate yield is Leaf Area Index. Traditionally, index can be obtained from manual measurements or aerial imagery: former consuming latter requires use...

Este artigo analisa o impacto no desenvolvimento das habilidades acadêmicas, profissionais e socioemocionais de alunas que participaram do projeto WebAcademy, uma capacitação em full stack software, buscando destacar suas percepções dentro ecossistema software. O questionário foi submetido às 22 da capacitação. Os questionamentos abordaram dentre outros, as cinco competências Base Nacional Comum Curricular (BNCC). Como resultados obtidos obteve-se autocontrole, a tomada decisão consciência...

Automating pruning tasks entails overcoming several challenges, encompassing not only robotic manipulation but also environment perception and detection. To achieve efficient pruning, systems must accurately identify the correct cutting points. A possible method to define these points is choose location based on number of nodes present targeted cane. For this purpose, in grapevine it required correctly primary canes grapevines. In paper, a novel node detection grapevines proposed with four...

Automating pruning tasks entails overcoming several challenges, encompassing not only robotic manipulation but also environment perception and detection. To achieve efficient pruning, systems must accurately identify the correct cutting points. A possible method to define these points is choose location based on number of nodes present targeted cane. For this purpose, in grapevine it required correctly primary canes grapevines. In paper, a novel node detection grapevines proposed with four...

Object recognition represents the ability of a system to identify objects, humans or animals in images. Within this domain, work presents comparative analysis among different classification methods aiming at Tactode tile recognition. The covered include: (i) machine learning with HOG and SVM; (ii) deep CNNs such as VGG16, VGG19, ResNet152, MobileNetV2, SSD YOLOv4; (iii) matching handcrafted features SIFT, SURF, BRISK ORB; (iv) template matching. A dataset was created train learning-based (i...