Weeds challenge crops by competing for resources and spreading diseases, impacting crop yield quality. Effective weed detection can enhance herbicide application, thus reducing environmental health risks. A major in Site-Specific Weed Management (SSWM) is developing a reliable identification system, especially given the diversity similarity between certain weeds during early growth stages. Image-based deep learning (DL) methods have become vital classification. However, accurate...

In this study, the evaluation of accuracy and performance a light detection ranging (LIDAR) sensor for vegetation using distance reflection measurements aiming to detect discriminate maize plants weeds from soil surface was done. The study continues previous work carried out in field Spain with LIDAR exclusively one index, height profile. current system uses combination two mentioned indexes. experiment at growth stage 12–14, 16 different locations selected represent widest possible density...

Crop 3D modeling allows site-specific management at different crop stages. In recent years, light detection and ranging (LiDAR) sensors have been widely used for gathering information about plant architecture to extract biophysical parameters decision-making programs. The study reconstructed vineyard crops using technology. Its accuracy performance were assessed characterization distance measurements, aiming obtain a reconstruction. A LiDAR sensor was installed on-board mobile platform...

Accurate assessment of forage quality is essential for ensuring optimal animal nutrition. Key parameters, such as Leaf Area Index (LAI) and grass coverage, are indicators that provide valuable insights into health productivity. measurement to ensure livestock obtain the proper nutrition during various phases plant growth. This study evaluated machine learning (ML) methods non-invasive grassland development using RGB imagery, focusing on ryegrass Timothy (Lolium perenne L. Phleum pratense...

Weed competition in inter- and intra-row zones presents a substantial challenge to crop productivity, with weeds posing particularly severe threat. Their proximity crops higher occlusion rates increase their negative impact on yields. This study examines the efficacy of advanced deep learning architectures—namely, Faster R-CNN, RT-DETR, YOLOv11—in accurate identification within commercial maize fields. A comprehensive dataset was compiled under varied field conditions, focusing three major...

As the tomato (Solanum lycopersicum L.) is one of most important crops worldwide, and conventional approach for weed control compromises its potential productivity. Thus, automatic detection aggressive species necessary to carry out selective them. Precision agriculture associated with computer vision a powerful tool deal this issue. In recent years, advances in digital cameras neural networks have led novel approaches technologies PA. Convolutional (CNNs) significantly improved precision...

The Zero Tillage (ZT) or Non-Tillage system constitutes an agricultural production approach designed for improved soil conservation, reduced fossil fuel usage, mitigation of waterway pollution, water and wind erosion, addressing compaction, among other objectives. In this way, ZT promises more sustainable agriculture. However, current systems depend on herbicide applications weed control. use herbicides with the same modes action over many years has led to numerous resistant species, which...

A non-destructive measuring technique was applied to test major vine geometric traits on measurements collected by a contactless sensor. Three-dimensional optical sensors have evolved over the past decade, and these advancements may be useful in improving phenomics technologies for other crops, such as woody perennials. Red, green blue-depth (RGB-D) cameras, namely Microsoft Kinect, significant influence recent computer vision robotics research. In this experiment an adaptable mobile...

El Tiple is one of many marginalized Afrodescendant communities confined within a green desert located in the southwest region Colombia. This most widely known as second-largest sugarcane monoculture field Americas. Herein, we describe transdisciplinary and participatory effort to understand agroindustrial expansion through lens community. Using qualitative quantitative methodologies, characterized socioenvironmental context terms ethnography, autoethnography, social cartography,...

This study presents the design, construction, and testing of a fully actuated quadrotor UAV prototype named FlapPyr that utilizes "+" arrangement to produce horizontal forces. Four flaps are installed beneath each main motor capture airflow from propellers generate aerodynamic forces perpendicular them. A control allocation matrix is determined by modeling complete structure suits applications requiring position while maintaining zero tilting angles. Both software in loop simulations...

In the field of computer vision, 3D reconstruction crops plays a crucially important role in agriculture. On-ground assessment geometrical features vineyards is vital importance to generate valuable information that enables producers take optimum actions terms agricultural management. A training system vines (Vitis vinifera L.), which involves pruning and trellis system, results particular vine architecture, throughout phenological stages. Pruning required maintain vine’s health keep its...

In this paper, we propose a new approach for discriminating maize and weed plants from soil surface, evaluating the accuracy performance of LiDAR sensor vegetation detection using distance reflection values. Field measurements were conducted in field at growth stage BBCH 12-14. Static taken different sampling areas with densities. Regression analyses carried out to assess capabilities system measurement. A high relationship between measured (LiDAR heights) actual height was found. binary...

Weeds compete with crops for resources and act as carriers of diseases or pests, negatively affecting yield crop quality. Thus, weed detection can also facilitate optimizing herbicide applications, mitigating their use's environmental health impacts, reducing soil water pollution. Nevertheless, the primary technical hurdle in Site-Specific Weed Management (SSWM) implementation revolves around creating a dependable precise identification mechanism within real-world settings. However, process...

The olive groves’ relevance has historically been ingrained in Mediterranean cultures. Spain stands out as a leading producer worldwide, where trees are extensively grown the Andalusian region. However, despite importance of this strategic agricultural sector, cultivation through years given rise to various crop management practices that have led disruptive erosion processes. objective is measure land over 100-year-old groves considering 3D reconstructed recent relief tree mounds. A...