In this paper, the deep learning instance segmentation architectures DetectoRS, SOLOv2, DETR and Mask R-CNN were applied to data from field of Pig Precision Livestock Farming investigate whether these models can address specific challenges domain. For purpose, we created a custom dataset consisting 731 images with high heterogeneity high-quality masks. evaluation, standard metric for benchmarki...

Abstract Increasing global population, climate change, and shortage of labor pose significant challenges for meeting the food fiber demand, agricultural robots offer a promising solution to these challenges. This paper presents new robotic system architecture resulting modular (MARS) that is an autonomous, multi‐purpose, affordable platform in‐field plant high throughput phenotyping precision f...

GIS, remote sensing and Global positioning System are the most widely useful tools for land use planning and decision support system. Remotely sensed imagery is beneficial for agricultural production. It gives the accurate information of agricultural activities such as different crop identification and classification, crop condition monitoring, crop growth, crop area and yield estimation, mappi...

Although the emerging field of precision livestock farming (PLF) is predominantly associated with intensive animal production, there is increasing interest in applying smart technologies in extensive rangeland systems. Precision livestock farming technologies bring the possibility of closely monitoring the behaviour, liveweight and other parameters of individual animals in free-ranging systems....

In der informationsgeleiteten Pflanzenproduktion spielt die Nutzung von Prozessinformation aus der Arbeitserledigung mit Maschinen eine zentrale Rolle. Die Norm ISO11783 (ISOBUS) bietet eine Schnittstelle zwischen Arbeitsmaschinen und Farm Management Software. Auf der Basis dieses Schnittstellenformates wird ein Lösungsansatz einer serverbasierten Verarbeitung dieser Daten vorgestellt und disku...

Innovation is the process leading to the adoption of new or existing information, technology or practices; it includes factors that affect demand for and use of knowledge in novel and useful ways. In agriculture, innovation is essential to maintain productivity growth, to address issues around sustaining the natural resource base and to adapt to climate change. This paper examines the innovatio...

A three years study on precision farming in cotton in central Greece showed serious infield variability of yield and soil physical and chemical properties. Yield mapping constitutes the starting and ending point of the whole process chain in a precision farming system. Yield mapping was performed for three consecutive years in the same cotton fields of central Greece in a wide range of cotton v...

The Lower Rio Grande Valley (LRGV) of south Texas is an agriculturally rich area supporting intensive production of vegetables, fruits, grain sorghum, and cotton. Modern agricultural practices involve the combined use of irrigation with the application of large amounts of agrochemicals to maximize crop yields. Intensive agricultural activities in past decades might have caused potential contami...

Development of alternative livelihoods has become a popular policy to uplift the socioeconomic status of small-scale fishers and to reduce fishing pressure on overexploited fisheries. Seaweed farming has been incorporated into many community-based coastal resources management projects and fisheries management initiatives as an alternative livelihood option for fishers in tropical developing cou...