Field monitoring plays a crucial role in understanding insect dynamics within ecosystems. It facilitates pest distribution assessment, control measure evaluation, and prediction of pest outbreaks. Additionally, it provides important information on bioindicators with which the state of biodiversity and ecological integrity in specific habitats and ecosystems can be accurately assessed. However, traditional monitoring systems face various difficulties, leading to a limited temporal and spatial resolution of the obtained information. Despite recent advancements in automatic insect monitoring traps, also called e-traps, most of these systems focus exclusively on studying agricultural pests, rendering them unsuitable for monitoring diverse insect populations. To address this issue, we introduce the Field Automatic Insect Recognition (FAIR)-Device, a novel nonlethal field tool that relies on semi-automatic image capture and species identification using artificial intelligence via the iNaturalist platform. Our objective was to develop an automatic, cost-effective, and nonspecific monitoring solution capable of providing high-resolution data for assessing insect diversity. During a 26-day proof-of-concept evaluation, the FAIR-Device recorded 24.8 GB of video, identifying 431 individuals from 9 orders, 50 families, and 69 genera. While improvements are possible, our device demonstrated its potential as a cost-effective, nonlethal tool for monitoring insect biodiversity. Looking ahead, we envision new monitoring systems such as e-traps as valuable tools for real-time insect monitoring, offering unprecedented insights for ecological research and agricultural practices.
This article analyses the competitive advantages and disadvantages of agriholdings and independent farms in Ukrainian arable production using expert-based focus-group discussions and comparing typical farms with a cost-of-production approach. Agriholdings were found to have strong competitive advantages in access to and cost of capital, as well as more favourable input and output prices. On the other hand, they are less efficient, with lower yields and higher overhead costs than top-performing independent farms. At the bottom line, typical well-performing independent farms were found to generate a higher return to land than typical agriholding member farms of the same size. If agriholdings can overcome their efficiency challenge, the economic gap may close in the future. A likely way to accomplish this was found to be decentralization and strengthening of farm-level management.
Beiträge in Monografien, Sammelwerken, Schriftenreihen
Simon Walther
,
Peter Breunig
Ökonomische Bewertung digitaler Technologien auf Ebene des landwirtschaftlichen (Ackerbau-)Betriebs (2024) Noack, Patrick Ole (Hrsg.): Precision Farming – Smart Farming – Digital Farming. Grundlagen und Anwendungsfelder. 2., überarbeitete und erweiterte Auflage 2024 , S. 211-223.
Marwin Hampe
,
Ferdinand Spieth
,
Simon Walther
,
Thomas de Witte
,
Philipp Hölscher
,
Christina Umstätter
Content of teaching is often highly specialized for each course of studies, and students rarely have the possibility to learn more about related content which is outside of the subject area. Nevertheless, e.g. in indoor vertical farming, not only horticultural expertise is required to face the need for automated processes throughout the whole supply chain. We present here a unique approach to bring students from different courses of study together to develop digital solutions for these challenges in an agile environment. Agile in this context means letting students from different disciplines work together in a self-organized manner without hierarchies and based on the project management framework Scrum. In a first attempt, we let students with horticultural and bioinformatics backgrounds develop a digital tool that automates early detection of nitrogen deficiency for sunflowers grown in a greenhouse.
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Juan Andres Chiavassa
,
Patrick Noack
,
Simon Walther
,
Martin Kraft
,
Ameli Kirse
,
Christoph Scherber
Berechtigungen: Open Access
Entwicklung eines nichtletalen Monitoringsystems zur Erfassung von Insektenbiodiversität in landwirtschaftlichen Produktionssystemen (2024) Angewandte Forschung und Entwicklung für den ökologischen Landbau in Bayern, Tagungsband zum 9. Öko-Landbautag 2024 am 24.10.2024 in Triesdorf (LfL Schriftenreihe 5/2024) .
Hauptziel des Vorhabens ist es, den gesellschaftlichen Wert der bayerischen Landwirtschaft wissenschaftsbasiert zu quantifizieren sowie politische Handlungsoptionen zu ermitteln, die geeignet sind, …
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