IIARD International Institute of Academic Research and Development

International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 11 NO. 4 2025
DOI: 10.56201/ijemt.vol.11.no4.2025.pg70.80

---

Implications, Benefits, Challenges, and Future Perspective of GIS-Farming Machinery Integration in Precision Agriculture: A Review

Usman M I, Muhammed Isah Muhammed, Shalegh AS, Ali Kole Hassan, and Ibrahim Mohammed Mustapha

---

Abstract

This review examines the integration of geographic information systems (GIS) with agricultural machinery in the context of precision agriculture. It discusses the implications of this integration and demonstrates how GIS technology improves and enhances data collection, analysis, and decision-making processes in agriculture. The benefits outlined include improved resource management, increased crop yields, and improved sustainability practices. However, the paper also addresses the challenges of integrating GIS and agricultural machinery, such as high costs, technical complexity, and the need for qualified personnel. Finally, it outlines the prospects for the development of this integration. The potential of advances in technology and data analysis to further optimize agricultural practices is highlighted, focusing on the challenges, risks, and functional implications.

keywords:

GIS Farming, Machinery, Precision Agriculture, and Integration.

---

References:

Kai, A., Gaodi, X., Yunfa, L., & Yu, X. (2003). Design of farmland is for precision agriculture.
https://doi.org/10.1007/S11769-003-0079-3
Neményi, M., Mesterházi, P. Á., Pecze, Z., & Stépán, Z. (2003). The role of GIS and GPS in
precision farming. https://doi.org/10.1016/S0168-1699(03)00010-3
Yousefi, M. R., & Razdari, A. M.. (2015). Application of gis and gps in precision agriculture
(a review).
Bregt, A. K. (1997). GIS support for precision agriculture: problems and possibilities.
https://doi.org/10.1002/9780470515419.CH11
Marthe, C. (2011). precious metal watch strap, has connecting tubes to support, surround, and
guide connection and hinge pins, where each tube is positioned within hollow shell
through guiding hole that traverses side wall of shell (Patent).
Szymczuk, M. (1981). A Computer Program for Equating Two Rasch-Calibrated Tests.
https://doi.org/10.1177/001316448104100121
Usery, E. L., Pocknee, S., & Boydell, B B. (1995). Precision farming data management using
geographic information systems.
GIS
Applications
in
Agriculture.
(2022).
GIS
Applications
in
Agriculture.
https://doi.org/10.5772/intechopen.104786
Sharma, S., & Srushtideep, A. (2022). Precision Agriculture and Its Future.
https://doi.org/10.9734/ijpss/2022/v34i242630
Lia, C. (2015). Application Progress and Prospect of GIS in Precision Agriculture.
Kavitha, M., Srinivasan, R., & Kavitha, R. (2022). GIS Systems for Precision Agriculture and
Site-Specific Farming. https://doi.org/10.1201/9781003185413-5
Ang, M. (2022). An integrated information system for on-farm precision agriculture
experimentation data using machine learning approaches.
Masud Cheema, M. J., & Khan, M. A. (2019). Information Technology for Sustainable
Agriculture. https://doi.org/10.1007/978-3-030-23169-9_19
Delgado, J. A., Short, N. M., Roberts, D. P., & Vandenberg, B. (2019). Big Data Analysis for
Sustainable
Agriculture
on
a
Geospatial
Cloud
Framework.
https://doi.org/10.3389/FSUFS.2019.00054
Colizzi, L., Caivano, D., Ardito, C., Desolda, G., Castrignanò, A., Matera, M., Khosla, R.,
Moshou, D., Hou, K. M., Pinet, F., Chanet, J.-P., Hui, G., & Shi, H. (2020).
Introduction to agricultural IoT. https://doi.org/10.1016/B978-0-12-818373-
1.00001-9
Sakthi, U., & Dafni Rose, J. (2020, August 1). Smart Agricultural Knowledge Discovery
System
using
IoT
Technology
and
Fog
Computing.
https://doi.org/10.1109/ICSSIT48917.2020.9214102
Rakhra,
M.,
&
Singh,
R.
(2021).
Smart
data
in
innovative
farming.
https://doi.org/10.1016/J.MATPR.2021.01.237
Finger, R.. (2023). Digital innovations for sustainable and resilient agricultural systems.
https://doi.org/10.1093/erae/jbad021
El Bilali, H., Bottalico, F., Palmisano, G. O., & Capone, R. (2019). Information and
Communication
Technologies
for
Smart
and
Sustainable
Agriculture.
https://doi.org/10.1007/978-3-030-40049-1_41
Mathew Jacob, P., Suresh, S., John, J. M., Nath, P., Nandakumar, P., & Simon, S. (2020,
October 26). An Intelligent Agricultural Field Monitoring and Management System
using
Internet
of
Things
and
Machine
Learning.
https://doi.org/10.1109/ICDABI51230.2020.9325612
SARKAR, N. C., MONDAL, K., DAS, A., MUKHERJEE, A., MANDAL, S., GHOSH, S.,
BHATTACHARYA, B., LAWES, R., & HUDA, S. (2023). Enhancing livelihoods
in farming communities through super-resolution agromet advisories using
advanced digital agriculture technologies. https://doi.org/10.54386/jam.v25i1.2080
Srivastava, A.. (2018). Technology Assisted Knowledge Agriculture for Sustainable
Development Goals. https://doi.org/10.4172/2329-8863.1000391
Ellis-Jones, J., Gondwe, T., Chibwe, T., Phiri, A., & Nhamo, N.. (2017). The Use of Integrated
Research for Development in Promoting Climate Smart Technologies, the Process
and Practice. https://doi.org/10.1016/B978-0-12-810521-4.00008-6
Fastellini, G., & Schillaci, C.. (2020). Precision farming and IoT case studies across the world.
https://doi.org/10.1016/B978-0-12-818373-1.00007-X
Chiappini, S., Galli, A., Malinverni, E. S., Zingaretti, P., Orsini, R., Fiorentini, M., & Zenobi,
S.. (2019). An Ontology-Based Study for the Design of a Database for Data
Management in Precision Farming. https://doi.org/10.1007/978-3-030-39299-4_87
Simelton, E., & McCampbell, M.. (2021). Do Digital Climate Services for Farmers Encourage
Resilient Farming Practices? Pinpointing Gaps through the Responsible Research
and Innovation Framework. https://doi.org/10.3390/AGRICULTURE11100953
Checchinato F., Cinzia Colapinto, Vladi Finotto, Alena Myshko (2022). The role of innovative
technologies in sustainability. https://doi.org/10.4324/9781003223672-11
Pandya, S., & Lal, S. P.. (2023). Bridging the Digital Divide in Agriculture: An Investigation
to ICT Adoption for Sustainable Farming Practices in Banaskantha District of
Gujarat, India. https://doi.org/10.9734/ijecc/2023/v13i92367
Pandey, P. C., & Pandey, M. K.. (2023). Highlighting the role of agriculture and geospatial
technology
in
food
security
and
sustainable
development
goals.
https://doi.org/10.1002/sd.2600
Fleming, A., Jakku, E., Fielke, S., Taylor, B. V., Lacey, J., Terhorst, A., & Stitzlein, C.. (2021).
Foresighting Australian digital agricultural futures: Applying responsible innovation
thinking to anticipate research and development impact under different scenarios.
https://doi.org/10.1016/J.AGSY.2021.103120
Reddy, M. N., & Rao, N. H.. (2009). Integrating geospatial information technologies and
participatory methods in agricultural development.
Mobushir R. K., Richard A. C., Naeem A. M., Lachlan O'Meara (2023). Applications of
geospatial technologies for precision agriculture. https://doi.org/10.1016/b978-0-
443-18953-1.00004-0
Md. Rayhan Shaheb, Ayesha Sarker, and Scott A. Shearer (2022). Precision Agriculture for
Sustainable Soil and Crop Management. https://doi.org/10.5772/intechopen.101759
Mylonas, I., Stavrakoudis, D. G., Katsantonis, D., & Korpetis, E. G.. (2020). Better farming
practices to combat climate change. https://doi.org/10.1016/B978-0-12-819527-
7.00001-7
Ukhurebor, K. E., Adetunji, C. O., Olugbemi, O. T., Nwankwo, W., Olayinka, A. S.,
Umezuruike, C., & Hefft, D. I.. (2022). Precision agriculture: Weather forecasting
for future farming. https://doi.org/10.1016/B978-0-12-823694-9.00008-6
Zella A.Y., Kitali L.J., Lusiru S.N., Malekela A.A., Msambichaka S., Nassor Z., and Ntaturo
E., (2023). Adapting innovation of information and communication technologies to
climate change risks for agriculture sustainability in central Tanzania.
https://doi.org/10.53346/wjast.2023.3.1.0057
Saber, M.. (2022). Supporting users in data disclosure scenarios in agriculture through
transparency. https://doi.org/10.1080/0144929x.2022.2068070
Raturi, A.. (2022). Cultivating trust in technology?mediated sustainable agricultural research.
https://doi.org/10.1002/agj2.20974
Bökle, S., Paraforos, D. S., Reiser, D., & Griepentrog, H. W.. (2022). Conceptual framework
of a decentral digital farming system for resilient and safe data management.
https://doi.org/10.1016/j.atech.2022.100039
Sudhakar N.Y., Murali Krishna, I. Sapthami, Ch. Mallikarjuna Rao, D. V. Lalita Parameswari
(2022).
Sustainable
Efficient
Solutions
for
Smart
Agriculture.
https://doi.org/10.1201/9781003217404-9
Hanson, W. P., & Heeks, R.. (2020). Impact of ICTs-in-Agriculture on Rural Resilience in
Developing Countries. https://doi.org/10.2139/SSRN.3517468
Kasim, K.. (2013). Resilience: Touching a Colourful Sky: Breaking the Mould of Linear
Models of Innovation and Creating Innovative Learning Spaces for Social Change
of Resilient Small Scale Farmers.
Wan Nor Haliza, W. M., Tengku Adil, T. I., Muhamad Khairulnizam, Z., & Norhayati, H..
(2022). The Importance of Digi

DOWNLOAD PDF

---

Back