The contribution of Horticulture 4.0 innovations to more sustainable horticulture

Ludwig-Ohm, S.; Hildner, Phillip; Isaak, Marike; Dirksmeyer, W.; Schattenberg, Jan

doi:10.1016/j.procs.2022.12.242

Cited by 11 publications

(3 citation statements)

References 21 publications

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“…The description of the consequences of the Fourth Industrial Revolution for human resource management is that Reskilling and upskilling the workforce: As automation and artificial intelligence (AI) replace specific job functions, human resource management must focus on reskilling and upskilling personnel to remain relevant in a changing employment market. This includes recognizing the skills that will be needed in the future and offering training and development opportunities to improve employees' digital literacy, flexibility, and creativity (Ludwig-Ohm et al, 2023;Rana & Rathore, 2023;V Prabhakar et al, 2023). Moreover, acquisition and management of talent: The 4IR introduces additional requirements for talent acquisition and management.…”

Section: Resultsmentioning

confidence: 99%

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Tasa Gome,

Tiarapuspa

2023

j. ekon. n.a. econo.

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Economic growth necessitates a circular economy in which production and productivity must be improved quickly. One of the major needs of economic management is efficiency throughout the process, one of which is the employment of fewer employees who are replaced by IT and advanced machinery. The purpose of this work is to present the problems and dilemmatic state of that situation by acquiring information and data from current reviews and research articles published in scientific publications. According to this viewpoint, the large population, particularly those of productive age, may be projected as prospective primary participants in the economic sector. These can be accomplished through the development of IT skills. This issue necessitates government attention and a vital role in which human skill vision may be improved via education and training. The demographic dividend can be tailored to boost economic growth in the coming years. Furthermore, initiative, innovation, and entrepreneurship must be essential human resource skills.

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Section: Resultsmentioning

confidence: 99%

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Tasa Gome,

Tiarapuspa

2023

j. ekon. n.a. econo.

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“…Robotics, innovative sensorcontrolled solutions, data management systems, and artificial intelligence can increasingly fulfill complex tasks in the control and management of production systems and help make horticultural production more competitive and sustainable. Thus, digital methods are essential for horticultural production, but their development and use are still in the early stages [23,24].…”

Section: Background Of the Literaturementioning

confidence: 99%

Sustainable Development Solutions: Growing and Processing Raspberries on Lithuanian Farms

Ispiryan,

Giedraitis,

Sermuksnyte-Alesiuniene

et al. 2023

Foods

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The EU’s goals by 2050 are to ensure food security, prevent bio-diversity loss, and strengthen the EU food system’s resilience. Recent scientific research and the situation in the global market show that the cultivation and processing of raspberries is currently completely unsustainable. This sector is experiencing a huge decline in Lithuania. Therefore, we chose the sustainability of raspberry growing (from farm) and processing (to fork) as an object. The aim of this article was (i) to analyze the raw material of the raspberry plant for product sustainable processing, (ii) to create a digital sustainability measurement model, and (iii) to present sustainable development solutions for effective raspberry growing and processing on Lithuanian farms using content and descriptive methods. This paper discusses how to help small raspberry growers and processors achieve sustainable economic, environmental, and social performance from field raw material to processed products. Analysis of the scientific literature has revealed qualitative and quantitative sustainability indicators for improving raspberry production. The assessment of the sustainability according to our created model revealed the (un)sustainable factors and the current situation in raspberry farms on a Likert scale from very unsustainable to very sustainable. Based on the evaluation we have determined sustainable development solutions. Raspberry growing and processing in Lithuania can contribute to environmental conservation, economic growth, and social well-being, fostering a more sustainable and resilient agricultural sector by investing in R&D, improving productivity, creating employment opportunities and supporting rural communities, establishing a robust waste management system, and embracing renewable energy sources. Raspberry growers and processors can use the digital model we created for the sustainability, efficiency, and development directions of their farm.

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“…To systematize the level of advancement of solutions, the Horticulture 4.0 classification was introduced [14]. Horticulture 4.0 classifies the levels of advancement of the digitalization technology used to support production.…”

Section: Introductionmentioning

confidence: 99%

Multi-Agent Vision System for Supporting Autonomous Orchard Spraying

Góral,

Pawłowski,

Piniarski

et al. 2024

Electronics

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In this article, the authors propose a multi-agent vision system supporting the autonomous spraying of orchards and analyze the condition of trees and occurrence of pests and diseases. The vision system consists of several agents: first, for the detection of pests and diseases of fruit crops; second, for the estimation of the height of trees to be covered with spraying; third, for the classification of the developmental status of trees; and fourth, for the classification of tree infections by orchard diseases. For the classification, modified deep convolutional neural networks were used: Xception and NasNetLarge. They were trained using transfer learning and several additional techniques to avoid overfitting. Efficiency tests performed on the datasets with real orchard photos, showing accuracies ranging from 96.88% to 100%. The presented solutions will be used as part of an intelligent autonomous vehicle for orchard works, in order to minimize harm to the environment and reduce the consumption of water and plant protection products.

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The contribution of Horticulture 4.0 innovations to more sustainable horticulture

Cited by 11 publications

References 21 publications

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Sustainable Development Solutions: Growing and Processing Raspberries on Lithuanian Farms

Multi-Agent Vision System for Supporting Autonomous Orchard Spraying

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