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Applied Sciences
Volume 13
Issue 17
10.3390/app13179640
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Technical Note

Profitability Assessment of Precision Agriculture Applications—A Step Forward in Farm Management

by
Christos Karydas
1,*,
Myrto Chatziantoniou
2,
Ourania Tremma
3,
Alexandros Milios
4,
Kostas Stamkopoulos
2,
Vangelis Vassiliadis
2 and
Spiros Mourelatos
1
1
Ecodevelopment S.A., 57010 Thessaloniki, Greece
2
Agrostis S.A., VEPE Technopolis—Building C2, 55535 Thessaloniki, Greece
3
School of Agriculture and Food Science, University College Dublin, D04 V1W8 Dublin, Ireland
4
New Agriculture New Generation, 57001 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(17), 9640; https://doi.org/10.3390/app13179640
Submission received: 27 June 2023 / Revised: 14 August 2023 / Accepted: 16 August 2023 / Published: 25 August 2023
(This article belongs to the Special Issue New Development in Smart Farming for Sustainable Agriculture)
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Abstract

Profitability is not given the necessary attention in contemporary precision agriculture. In this work, a new tool, namely ProFit, is developed within a pre-existing farm management system, namely ifarma, to assess the profitability of precision agriculture applications in extended crops, as most of the current solutions available on the market respond inadequately to this need. ProFit offers an easy-to-use interface to enter financial records, while it uses the dynamic map view environment of ifarma to display the profitability maps. Worked examples reveal that profitability maps end up being quite different from yield maps in site-specific applications. The module is regulated at a 5 m spatial resolution, thus allowing scaling up of original and processed data on a zone-, field-, cultivar-, and farm-scale. A bottom-up approach, taking advantage of the full functionality of ifarma, together with a flexible architecture allowing future interventions and improvements, renders ProFit an innovative commercial tool.
Keywords: precision agriculture; site-specific fertilization; digital agriculture; ifarma precision agriculture; site-specific fertilization; digital agriculture; ifarma

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MDPI and ACS Style

Karydas, C.; Chatziantoniou, M.; Tremma, O.; Milios, A.; Stamkopoulos, K.; Vassiliadis, V.; Mourelatos, S. Profitability Assessment of Precision Agriculture Applications—A Step Forward in Farm Management. Appl. Sci. 2023, 13, 9640. https://doi.org/10.3390/app13179640

AMA Style

Karydas C, Chatziantoniou M, Tremma O, Milios A, Stamkopoulos K, Vassiliadis V, Mourelatos S. Profitability Assessment of Precision Agriculture Applications—A Step Forward in Farm Management. Applied Sciences. 2023; 13(17):9640. https://doi.org/10.3390/app13179640

Chicago/Turabian Style

Karydas, Christos, Myrto Chatziantoniou, Ourania Tremma, Alexandros Milios, Kostas Stamkopoulos, Vangelis Vassiliadis, and Spiros Mourelatos. 2023. "Profitability Assessment of Precision Agriculture Applications—A Step Forward in Farm Management" Applied Sciences 13, no. 17: 9640. https://doi.org/10.3390/app13179640

APA Style

Karydas, C., Chatziantoniou, M., Tremma, O., Milios, A., Stamkopoulos, K., Vassiliadis, V., & Mourelatos, S. (2023). Profitability Assessment of Precision Agriculture Applications—A Step Forward in Farm Management. Applied Sciences, 13(17), 9640. https://doi.org/10.3390/app13179640

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