Tag Archives: agriculture

1060-1073 T. Fedoniuk, P. Pyvovar, P. Topolnytskyi, I. Bezvershuk, V. Tereshchuk and I. Puleko
Estimation of temporal and spatial characteristics of oat development parameters using Sentinel-1 backscatter data
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Estimation of temporal and spatial characteristics of oat development parameters using Sentinel-1 backscatter data

T. Fedoniuk¹*, P. Pyvovar¹, P. Topolnytskyi¹, I. Bezvershuk¹, V. Tereshchuk¹ and I. Puleko²

¹Polissia National University, Staryi Blvd., 7, UA10008 Zhytomyr, Ukraine
²Zhytomyr Military Institute named after S.P. Korolyov, Myru Avenue, 22, UA10004 Zhytomyr, Ukraine
*Correspondence: tanyavasiluk2015@gmail.com

Abstract:

The implementation of precision agriculture is an urgent priority for Ukraine’s agricultural sector under climate change and restricted use of unmanned aerial vehicles in border regions. This study aims to clearly define and evaluate the potential of Sentinel-1 radar data in identifying temporal and spatial variations in oat crop density and structure during the growing season under field conditions in Ukraine.  The technique encompassed the acquisition of Sentinel-1 satellite images in VV and VH polarizations, data processing by SNAP, field assessments of height, plant density, and phenological development, along with statistical analysis of the association between satellite data and land observations. The study demonstrated that the reflectance coefficient values in VV and VH polarizations fluctuate according to the oat development phase: a reduction in backscattering was noted at the onset of the growing season, followed by an increase during the stem formation and earing phases. The VH/VV ratio is responsive to variations in moisture, plant biomass, and stress conditions. The modelling demonstrated a substantial correlation among planting rate, herbicide application, and polarization markers. The findings validate the efficacy of Sentinel-1 for monitoring crop structure irrespective of weather conditions. This method enables farmers to obtain dependable information for making decisions regarding crop management, timely fertilizer application, or harvesting. The regression model demonstrated a consistent association with a R²=0.61, suggesting the potential for further research utilizing multi-year data to develop integrated yield forecasting models.

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1553-1571 J. Leppälä and R. Rautiainen
Review of farm safety and health risk management tools
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Review of farm safety and health risk management tools

J. Leppälä¹* and R. Rautiainen²

¹Natural Resources Institute Finland (Luke), Latokartanonkaari 9, FI00790 Helsinki, Finland
²University of Nebraska, Swanson Hall 3058, Omaha, 68198-5110 Nebraska, USA
*Correspondence: jarkko.leppala@luke.fi

Abstract:

Risk management aims to prevent intolerable risks that could jeopardize a farm’s goals and strategies. Many studies indicate that safety and health risks pose the greatest threats to farm continuity and business sustainability. Even a single injury to a key farmworker could have severe consequences for the whole farm.

The review employs content and thematic analysis to identify and classify safety and health risk management tools to assist farmers in their important risk management efforts. There is also an increasing need in EU to provide information about social conditionality requirements on farms, which include also terms in farm safety and health management.

A total of 62 risk management tools were analysed. The main typical risk factors in agriculture include machinery safety, livestock safety, chemical handling, and health hazards such as animal dust, gases, noise, biological hazards causing skin and respiratory diseases and ergonomic issues. This study is part of the Strengthening Farm Safety and Health Knowledge and Innovation Systems (SafeHabitus) project. The findings will contribute to the development of a farm safety and health risk management tool database in the SafeHabitus project.

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1312-1323 H. Taia, A.S. Bernoussi, E. Wozniak, M. Amharref and S. El Azizi
Using hyperspectral reflectance to evaluate the impact of irrigation and fertilization on mint
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Using hyperspectral reflectance to evaluate the impact of irrigation and fertilization on mint

H. Taia¹*, A.S. Bernoussi¹, E. Wozniak², M. Amharref¹ and S. El Azizi¹

¹University Abdelmalek Essaadi of Tangier, Faculty of Sciences and Techniques, Laboratory CBM-VR, BP. 416, MA90000 Tangier, Morocco
²Space Research Centre of the Polish, Academy of Sciences, Bartycka 18A, PL00-716 Warszawa, Poland
*Correspondence: halima.taia@gmail.com

Abstract:

In agriculture, water and fertilizer are two limiting elements of plant growth. Indeed, the lack or the excess of one of them disturbs the yields in terms of quality and quantity. Optimal irrigation/fertilization and precisely dosed nutrient supply allow fast-growing plants to reach their full potential, offering much larger and better quality yields. To monitor agricultural crop characteristics, Hyperspectral remote sensing provides an opportunity for an efficient nondestructive method. In this paper, we present a method for smart management of water irrigation and fertilizer using remote sensing. For this purpose, a protocol has been developed to detect the effects of nitrogen nutriments and water supply on potted mint by using UV-PIR field spectroscopy. Results suggest hyperspectral remote sensing has great promise to perfect smart agriculture. In fact, with this method, the effect of nutriments and water supply have been clearly detected.

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1224-1240 T.E.A. Mattila, V.-M. Tuure, U. Ovaska, I. Vänninen, M. Hokka, T. Elstob and R.H. Rautiainen
A participatory research approach in the development of safety and well-being in horticultural enterprises
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A participatory research approach in the development of safety and well-being in horticultural enterprises

T.E.A. Mattila¹*, V.-M. Tuure², U. Ovaska¹, I. Vänninen¹, M. Hokka³, T. Elstob² and R.H. Rautiainen⁴

¹Natural Resources Institute Finland (‘Luke’), Latokartanonkaari 9, FI-00790 Helsinki, Finland
²TTS Work Efficiency Institute, Kiljavantie 6, 05201 Rajamäki, Finland
³Satakunta TE office, Harjavallankatu 6, FIN-29200 Harjavalta, Finland
⁴University of Nebraska Medical Center, Omaha, Nebraska, 68198-4388, USA
*Correspondence to: tiina.mattila@luke.fi

Abstract:

The process of improving the health, safety, and well-being of workers in the horticulture and agriculture sectors requires new effective means. The aim of this study was to conduct a qualitative evaluation of a participatory co-creative consultation process in order to improve occupational health and safety in horticultural businesses. The study was conducted across twenty-four small-scale enterprises (totalling eighty-two entrepreneurs and workers) from five different horticultural subsectors in Finland. Each business engaged in the development process, starting from the identification of development needs through to individual interviews and process analysis, and continuing with co-creation and the implementation of solutions. The results indicated that participatory consultation, when combined with a process analysis, was perceived as being very productive, particularly in terms of identifying development needs, but also in inspiring the co-creation of solutions and applying them to specific tasks and the working environment. Whilst long-term effects could not be measured, participation in the development process improved subjective well-being and the competence of entrepreneurs in managing well-being in their work setting. The findings suggest that participatory consultation can facilitate improvements in working conditions, which in turn can help to reduce workplace injuries and improve health conditions. The findings also highlighted the need for having a multidisciplinary consultation team, the effective cooperation of all involved parties, and facilitating peer discussions when it comes to resolving identified challenges.

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