The fungus Botrytis cinerea causes severe diseases in many crops. In grapevines, it bunch rot (BBR), one of the most reported worldwide. It affects all herbaceous organs vine, especially ripe berries, causing significant reductions yield and wine quality. detection models traditionally focus on temporal analysis at a specific spatial location, ignoring study variability crop. Unmanned aerial vehicles (UAVs) equipped with multispectral cameras can provide high-resolution images that be...

Grapevine phenotyping is the process of determining physical properties (e.g., size, shape, and number) grape bunches berries. information provides valuable characteristics to monitor sanitary status vine. Knowing number dimensions berries at an early stage development relevant winegrowers about yield be harvested. However, counting measuring usually done manually, which laborious time-consuming. Previous studies have attempted implement bunch detection on red in vineyards with leaf removal...

Remote sensing makes it possible to gather data rapidly, precisely, accurately, and non-destructively, allowing assess grapevines accurately in near real-time. In addition, multispectral cameras capture information different bands, which can be combined generate vegetation indices useful precision agriculture. This dataset contains 16,504 images from a 1.06 ha vineyard affected by Botrytis cinerea, the north of Spain. The photos were taken throughout four UAV flights at 30 m height with...

Pistachio (Pistacia vera L.) has earned recognition as a significant crop due to its unique nutrient composition and adaptability the growing threat of climate change. Consequently, utilization remote sensing techniques for non-invasive pistachio monitoring become critically important. This research was conducted in two orchards located Spain, aiming assess effectiveness vegetation indices (VIs) estimating nut yield quality under various irrigation conditions. To this end, high-resolution...

This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew (Erysiphe necator) grapevine leaves, crucial precision agriculture and sustainable vineyard management. In a controlled experimental setting, spectral reflectance on leaves with varying infestation levels was measured using FieldSpec 4 spectroradiometer during July September. A detailed assessment conducted following guidelines recommended by European Mediterranean Plant Protection Organization (EPPO)...

The "EscaYard" dataset comprises multimodal data collected from vineyards to support agricultural research, specifically focusing on vine health and productivity. Data collection involved two primary methods: (1) unmanned aerial vehicle (UAV) for capturing multispectral images 3D point clouds, (2) smartphones detailed ground-level photography. UAV used was DJI Matrice 210 V2 RTK, equipped with a Micasense Altum sensor, flying at 30 meters above ground level ensure coverage. Ground-level were...

Innovations in precision agriculture enhance complex tasks, reduce environmental impact, and increase food production cost efficiency. One of the main challenges is ensuring rapid information availability for autonomous vehicles standardizing processes across platforms to maximize interoperability. The lack drone technology standardisation, communication barriers, high costs, post-processing requirements sometimes hinder their widespread use agriculture. This research introduces a...

Remote Sensing (RS) allows the estimation of some important vineyard parameters. There are several platforms for obtaining RS information. In this context, Sentinel satellites a valuable tool since they provide free and regular images earth’s surface. However, problems regarding low-resolution imagery arise when using technology, such as handling mixed pixels that include vegetation, soil shadows. Under condition, Normalized Difference Vegetation Index (NDVI) value in particular pixel is an...

Object Detection and Tracking have provided a valuable tool for many tasks, mostly time-consuming prone-to-error jobs, including fruit counting while in the field, among others. Fruit can be challenging assignment humans due to large quantity of available, which turns it into mentally-taxing operation. Hence, is relevant use technology ease task farmers by implementing algorithms facilitate counting. However, those suffer undercounting occlusion, means that hidden behind leaf or branch,...

Viticulture benefits significantly from rapid grape bunch identification and counting, enhancing yield quality. Recent technological machine learning advancements, particularly in deep learning, have provided the tools necessary to create more efficient, automated processes that reduce time effort required for these tasks. On one hand, drone, or Unmanned Aerial Vehicles (UAV) imagery combined with algorithms has revolutionised agriculture by automating plant health classification, disease...

Integrating Artificial Intelligence (AI) and Extended Reality (XR) technologies into agriculture presents a transformative opportunity to modernize education sustainable food production. Traditional training remains resource-intensive, time-consuming, geographically restrictive, limiting scalability. This study explores an AI-driven Digital Twin (DT) system embedded within gamified XR environment designed enhance decision-making, resource management, practical in viticulture as well woody...

<title>Abstract</title> Agrivoltaic systems, combining solar energy generation with agricultural activities, offer a sustainable approach to maximising land efficiency. However, these systems can present challenges, such as potential shading effects that may impact fruit quality or crop yields. This study evaluated the of overhead agrivoltaic on apple (<italic>Malus domestica</italic> L. cv. Gala) ripening and maturation patterns in temperate orchard near Lake Constance, Germany. Experiments...

A few decades ago, farmers could precisely monitor their croplands just by walking over the fields, but this task becomes more difficult as farm size increases. Precision viticulture can help better understand vineyard and measure some key structural parameters, such Leaf Area Index (LAI). Remote Sensing is a typical approach to monitoring vegetation which measures spectral information directly emitted reflected from vegetation. This study explores new method for estimating LAI projected...

Counting the number of grape bunches at an early stage development offers relevant information to winegrower about potential yield be harvested. However, manual counting on fields is laborious and time-consuming. Remote sensing, more precisely unmanned aerial vehicles mounted with RGB or multispectral cameras, facilitate this task rapidly accurately. This dataset contains 40 videos from a 1.06-ha vineyard located in northern Spain. Moreover, includes mask labels visible bunches. The were...

Unmanned Aerial Vehicle (UAV) thermal imagery is rapidly becoming an essential tool in precision agriculture. Its ability to enable widespread crop status assessment increasingly critical, given escalating water demands and limited resources, which drive the need for optimizing use yield through well-planned irrigation vegetation management. Despite advancements methodologies, including of indices, 2D mapping, 3D point cloud technologies, some aspects remain less understood. For instance,...

Assessing crop diseases at an early stage allows farmers to apply chemicals the most efficient moment control pest and focus on plants with highest risk of developing disease. Moreover, earlier assessment lower consequences, such as yield reduction, which is crucial feed increasing world population. BBR first open-source software based physical phenological parameters that grant botrytis bunch rot disease, caused by Botrytis cinerea, in vineyards using UAV images. This has been released...

Typically, commercial orchards and vineyards consist of large fields that encounter similar development phases at once. Thus, it becomes necessary to efficiently fly over all detect fruit identify their status in a very limited timeframe. For this purpose, Unmanned Aerial Vehicles (UAVs) path planning plays pivotal role agriculture as enables optimal coverage agricultural fields, leading enhanced data acquisition improved precision practices, for instance, disease assessment pesticide...

Interest in pistachios has increased recent years due to their healthy nutritional profile and high profitability. In pistachio trees, as other woody crops, the volume of canopy is a key factor that affects crop load, water requirements, quality. However, canopy/crown monitoring time-consuming labor-intensive, it traditionally carried out by measuring tree dimensions field. Therefore, methods for rapid characterization are needed providing accurate information can be used management...