A review on computer applications in agricultural science

Year 2024, Volume: 4 Issue: 2, 65 - 79

Suleiman Usman

https://doi.org/10.62189/ci.1480927

Abstract

Computer application in agricultural science is an advanced technology that has changed the surface of traditional agricultural systems throughout the history of human development globally. This paper aims to provide integrated information regarding the application of computers in agriculture and covers a wide range of genes that address MIS and its manifestations in science, computers and their major types and components, statistical applications, and functional services of various mobile apps in animal, extension, crop, fishery, forestry, soil and veterinary studies. Computer application affects all aspects and components of agriculture and ensures sustainable food security and economic advancement in all nations. Studies and assessments in animal science, agricultural extension, crop science, fishery, forestry and soil science have increasingly employed computer applications for different purposes. Computer application systems of various types (mainframe, minicomputer, PC, supercomputer, workstation), hardware and software, MS words, Excel and PowerPoint have played key roles in agriculture. These various types of computers deliver the most advanced interpretations of agricultural results through documentation and statistical analysis. The use of computers and computer technologies in various agricultural studies should be carefully practiced. Using agricultural computers will help ensure the accuracy of the results and technical interpretations, leading to increased food production, animal productivity, and sustainable economic development.

Keywords

Agriculture, Computers, Computer technology, Information management, Mobile apps, Statistics

Ethical Statement

The research was approved by the Department of Agronomy, Nasarawa State University Keffi, Nasarawa State, Nigeria.

Supporting Institution

Federal University Dutse and Nasarawa State University

Project Number

1

Thanks

Thank you

References

• [1] Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E.S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell C., Ray, D. K. & West, P. C., et al. Solutions of a cultivated planet. Nature, 2011; 478; 337–342 DOI: http://dx.doi.org/10.1038/nature10452.
• [1] Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E.S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell C., Ray, D. K. & West, P. C., et al. Solutions of a cultivated planet. Nature, 2011; 478; 337–342 DOI: http://dx.doi.org/10.1038/nature10452.
• [2] FAO. Global Strategy to Improve Agricultural & Rural Statistics; Report No. 56719-GB. 2011; Food & Agriculture Organization of the United Nations (FAO) Rome, Italy. https://www.fao.org/in-action/global-strategy-agricultural-statistics
• [2] FAO. Global Strategy to Improve Agricultural & Rural Statistics; Report No. 56719-GB. 2011; Food & Agriculture Organization of the United Nations (FAO) Rome, Italy. https://www.fao.org/in-action/global-strategy-agricultural-statistics
• [3] Choudhary, P., Sharma, S. Kr., Kaswan, P. K. & Jat, R. Use of Computer in Agriculture. JUST Agriculture e-Newsletter, 2022; 2(3); 1–5.
• [3] Choudhary, P., Sharma, S. Kr., Kaswan, P. K. & Jat, R. Use of Computer in Agriculture. JUST Agriculture e-Newsletter, 2022; 2(3); 1–5.
• [4] Khosrowpour, M. Encyclopedia of Information Science & Technology. 2009; 1–5; 3807. Idea Group Inc (IGI).
• [4] Khosrowpour, M. Encyclopedia of Information Science & Technology. 2009; 1–5; 3807. Idea Group Inc (IGI).
• [5] Cai, D. & Xu, W. Analysis on the Application of Computer Technology in Water & Soil Conservation Monitoring in Production & Construction Projects. Advances in Intelligent Systems Research, 2016; 130; 1377–1381 DOI: 10.2991/mcei-16.2016.280
• [5] Cai, D. & Xu, W. Analysis on the Application of Computer Technology in Water & Soil Conservation Monitoring in Production & Construction Projects. Advances in Intelligent Systems Research, 2016; 130; 1377–1381 DOI: 10.2991/mcei-16.2016.280
• [6] Day, W. Computer applications in agriculture & horticulture: a view. In Proceedings of IFAC, 1991; 24(11); 247-251 DOI: https://doi.org/10.1016/B978-0-08-041273-3.50048-3.
• [6] Day, W. Computer applications in agriculture & horticulture: a view. In Proceedings of IFAC, 1991; 24(11); 247-251 DOI: https://doi.org/10.1016/B978-0-08-041273-3.50048-3.
• [7] Rahaman, A., Jingdong, L. & Khatoon, R. Modern Agricultural Technology Adoption its Importance, Role & Usage for the Improvement of Agriculture. Life Science, 2017; 14(2); 70–74 DOI: 10.7537/marslsj140217.10.
• [7] Rahaman, A., Jingdong, L. & Khatoon, R. Modern Agricultural Technology Adoption its Importance, Role & Usage for the Improvement of Agriculture. Life Science, 2017; 14(2); 70–74 DOI: 10.7537/marslsj140217.10.
• [8] Klen, M.J. & Philip, L.F. Encyclopedia of Artificial Intelligence. 2021; 408; Idea Group Inc. (IGI).
• [8] Klen, M.J. & Philip, L.F. Encyclopedia of Artificial Intelligence. 2021; 408; Idea Group Inc. (IGI).
• [9] Clarke, J. How to Manage your Computer in just 2 hours. 2006; 88; MMIII the Windsor Group, Bromley, Kent, UK.
• [9] Clarke, J. How to Manage your Computer in just 2 hours. 2006; 88; MMIII the Windsor Group, Bromley, Kent, UK.
• [10] Kumar, S. & Sarkar, S. Advancement of Computer Applications & Technology for Agriculture Development. Science for Agriculture and Allied Sector. Monthly e-Newsletter, 2015; 3(6); 19–26.
• [10] Kumar, S. & Sarkar, S. Advancement of Computer Applications & Technology for Agriculture Development. Science for Agriculture and Allied Sector. Monthly e-Newsletter, 2015; 3(6); 19–26.
• [11] Mamikhin, S.V., Badawy, W.M. & Khomyakov, D.M. Information & Computing Technologies in Soil Science and Ecology. Moscow University Soil Science Bulletin, 2014; 69; 4 DOI:10.3103/S0147687414040061.
• [11] Mamikhin, S.V., Badawy, W.M. & Khomyakov, D.M. Information & Computing Technologies in Soil Science and Ecology. Moscow University Soil Science Bulletin, 2014; 69; 4 DOI:10.3103/S0147687414040061.
• [12] Cofas, E. & Chiurciu, I. The role & advantages of computer systems in agribusiness, In: Agrarian Economy and Rural Development - Realities & Perspectives for Romania. International Symposium. 11th Edition, The Research Institute for Agricultural Economy and Rural Development (ICEADR), Bucharest, 2020; 280-287 DOI: https://hdl.handle.net/10419/234402.
• [12] Cofas, E. & Chiurciu, I. The role & advantages of computer systems in agribusiness, In: Agrarian Economy and Rural Development - Realities & Perspectives for Romania. International Symposium. 11th Edition, The Research Institute for Agricultural Economy and Rural Development (ICEADR), Bucharest, 2020; 280-287 DOI: https://hdl.handle.net/10419/234402.
• [13] Flynn, R. (ed.) Computer Science. 2002; 1-4. Macmillan, New York, USA.
• [13] Flynn, R. (ed.) Computer Science. 2002; 1-4. Macmillan, New York, USA.
• [14] Henderson, H. Encyclopedia of Computer Science & Technology. 2009; 552–580. Infobase Publishing.
• [14] Henderson, H. Encyclopedia of Computer Science & Technology. 2009; 552–580. Infobase Publishing.
• [15] Butterfield, A., Ngondi, G. E. & Kerr, A. (eds.) Dictionary of Computer Science, 7th ed. 2016. DOI: 10.1093/acref/9780199688975.001.0001
• [15] Butterfield, A., Ngondi, G. E. & Kerr, A. (eds.) Dictionary of Computer Science, 7th ed. 2016. DOI: 10.1093/acref/9780199688975.001.0001
• [16] John, J. M. Encyclopedia of Software Engineering. 2002; 1–2; 1511–1584. J. Willey, University of Michigan, USA.
• [16] John, J. M. Encyclopedia of Software Engineering. 2002; 1–2; 1511–1584. J. Willey, University of Michigan, USA.
• [17] Noble, C., Bennett, J. & Boucher, C. PCS made easy: A practical course – stage 3. 2001; 123–160. Published by Reader’s Digest Association Ltd, De Agostini UK ltd.
• [17] Noble, C., Bennett, J. & Boucher, C. PCS made easy: A practical course – stage 3. 2001; 123–160. Published by Reader’s Digest Association Ltd, De Agostini UK ltd.
• [18] Honfo, S. H., Houetohossou1, A., Assogbadjo, A. & Kakaï, R. G. Effective use of statistical tools in agricultural sciences: a critical review of multivariate modeling methods. Journal of Applied Biosciences, 2019; 142; 14529–14539 DOI: https://dx.doi.org/10.4314/jab.v142i1.10.
• [18] Honfo, S. H., Houetohossou1, A., Assogbadjo, A. & Kakaï, R. G. Effective use of statistical tools in agricultural sciences: a critical review of multivariate modeling methods. Journal of Applied Biosciences, 2019; 142; 14529–14539 DOI: https://dx.doi.org/10.4314/jab.v142i1.10.
• [19] Bayo, L. Applied Statistical Methods in Agriculture. Health and Life Sciences, 2014; 711–799. Springer Cham Heidelberg New York and Dordrecht London DOI: 10.1007/978-3-319-05555-8
• [19] Bayo, L. Applied Statistical Methods in Agriculture. Health and Life Sciences, 2014; 711–799. Springer Cham Heidelberg New York and Dordrecht London DOI: 10.1007/978-3-319-05555-8
• [20] Lind, D. A., Marchal W. G. & Wathen, S. A. Statistical techniques in business and economics. 2011; 794–800. New York, NY: McGraw-Hill/Irwin.
• [20] Lind, D. A., Marchal W. G. & Wathen, S. A. Statistical techniques in business and economics. 2011; 794–800. New York, NY: McGraw-Hill/Irwin.
• [21] Collinson, M.P. Farming System Research in Eastern Africa: The Experience of CIMMYT and some National Agricultural Research Services 1976–1981. Food Security International Development Papers 54068, presented at Michigan State University, Department of Agricultural, Food, and Resource Economics. 1982; 23–45 DOI: 10.22004/ag.econ.54068.
• [21] Collinson, M.P. Farming System Research in Eastern Africa: The Experience of CIMMYT and some National Agricultural Research Services 1976–1981. Food Security International Development Papers 54068, presented at Michigan State University, Department of Agricultural, Food, and Resource Economics. 1982; 23–45 DOI: 10.22004/ag.econ.54068.
• [22] Upton, M. African farm management. Agricultural Systems, 1989; 29(1); 93–96. Cambridge University Press, New York.
• [22] Upton, M. African farm management. Agricultural Systems, 1989; 29(1); 93–96. Cambridge University Press, New York.
• [23] Borrelli, P, Alewell, C., Alvarez, P., Anache, J. A. A., Baartman, J., Ballabio, C., Bezak, N., Biddoccu, M., Cerdà, A., Chalise, D., Chen, S., & Chen, W. et al. Soil erosion modeling: A global review and statistical analysis. Science of The Total Environment, 2021; 780; 146494 DOI: https://doi.org/10.1016/j.scitotenv.2021.146494.
• [23] Borrelli, P, Alewell, C., Alvarez, P., Anache, J. A. A., Baartman, J., Ballabio, C., Bezak, N., Biddoccu, M., Cerdà, A., Chalise, D., Chen, S., & Chen, W. et al. Soil erosion modeling: A global review and statistical analysis. Science of The Total Environment, 2021; 780; 146494 DOI: https://doi.org/10.1016/j.scitotenv.2021.146494.
• [24] Ayyappan, S. & Gnanasekaren, S. Application of Big Data Processing Technologies in Agriculture. International Conference on Computer Communication & Informatics (ICCCI). INSPEC Accession Number: 21684742. Coimbatore, India. 2022; DOI: 10.1109/ICCCI54379.2022.9740846.
• [24] Ayyappan, S. & Gnanasekaren, S. Application of Big Data Processing Technologies in Agriculture. International Conference on Computer Communication & Informatics (ICCCI). INSPEC Accession Number: 21684742. Coimbatore, India. 2022; DOI: 10.1109/ICCCI54379.2022.9740846.
• [25] Govindasamy, P., Deb, D., Sujayanand, G.K., & Saranji, D. et al. (ed.) Agricultural Statistics for Researchers and Students (Data handling, analysis and interpretation). 2023; 5; 33–88; New Vishal Publication, India.
• [25] Govindasamy, P., Deb, D., Sujayanand, G.K., & Saranji, D. et al. (ed.) Agricultural Statistics for Researchers and Students (Data handling, analysis and interpretation). 2023; 5; 33–88; New Vishal Publication, India.
• [26] FAO. Basic Statistical Tools. FAO, Rome, Italy. Report 28, https://www.fao.org/3/W7295E/w7295e08.htm 2023.
• [26] FAO. Basic Statistical Tools. FAO, Rome, Italy. Report 28, https://www.fao.org/3/W7295E/w7295e08.htm 2023.
• [27] Quintero, D., Ancel, T., Cassie, G., de Castro, R. C. F., Darwish, A., Felix, G., He, J. J., Keshavamurthy, B., Makineedi, S., Nikalje, G., Pal, S., Salie, Z. & Tiwary, A. Workload Optimized Systems Turning POWER7 for Analytics. 2012; IBM company.
• [27] Quintero, D., Ancel, T., Cassie, G., de Castro, R. C. F., Darwish, A., Felix, G., He, J. J., Keshavamurthy, B., Makineedi, S., Nikalje, G., Pal, S., Salie, Z. & Tiwary, A. Workload Optimized Systems Turning POWER7 for Analytics. 2012; IBM company.
• [28] Warwick University. GenStat (General Statistical). 2023; University of Warwick, Coventry, CV4 7AL.
• [28] Warwick University. GenStat (General Statistical). 2023; University of Warwick, Coventry, CV4 7AL.
• [29] Erick, L. S., Cynthia, M. P., Graciela, M. N. & Camille, M. Biostatistics in Public Health Using STATA. 2016, CRC Press.
• [29] Erick, L. S., Cynthia, M. P., Graciela, M. N. & Camille, M. Biostatistics in Public Health Using STATA. 2016, CRC Press.
• [30] SAS Institute SAS Software. 2023; North Carolina State University.
• [30] SAS Institute SAS Software. 2023; North Carolina State University.
• [31] Barbara, F. R., Thomas, A. R. & Brian, L. Minitab. Pennsylvania State University, Minitab, LLC. Minitab.com 1972.
• [31] Barbara, F. R., Thomas, A. R. & Brian, L. Minitab. Pennsylvania State University, Minitab, LLC. Minitab.com 1972.
• [32] CDC. Epi Info for windows and Epi info 7 user guide. 2023; Center for Disease Control and Prevention (CDCP). US Department of Health and Human Services.
• [32] CDC. Epi Info for windows and Epi info 7 user guide. 2023; Center for Disease Control and Prevention (CDCP). US Department of Health and Human Services.
• [33] EpiData Association. EpiData Entry 3.1. 2023; EpiData Association, Odense, Denmark. Informer Technologies, Inc.
• [33] EpiData Association. EpiData Entry 3.1. 2023; EpiData Association, Odense, Denmark. Informer Technologies, Inc.
• [34] Lumivero. Qualitative Data Analysis Software with Al Solution for 30 years. Retrieved Nov. 29, 2023.
• [34] Lumivero. Qualitative Data Analysis Software with Al Solution for 30 years. Retrieved Nov. 29, 2023.
• [35] ATLAS-ti Scientific Software Development GmbH. Qualitative Data Analysis. ATLAS-ti Scientific Software Development GmbH, 2023.
• [35] ATLAS-ti Scientific Software Development GmbH. Qualitative Data Analysis. ATLAS-ti Scientific Software Development GmbH, 2023.
• [36] Abbasi, A. Z., Islam, N., & Shaikh, Z. A. A review of wireless sensors and networks' applications in agriculture. Computer Standards and Interfaces, 2024; 36(2); 263-270.
• [36] Abbasi, A. Z., Islam, N., & Shaikh, Z. A. A review of wireless sensors and networks' applications in agriculture. Computer Standards and Interfaces, 2024; 36(2); 263-270.
• [37] Clark, J. A., Gregson, K. & Saffell, R. A. Computer Applications in Agricultural Environments. Proceedings of Previous Easter Schools in Agricultural Science, 1986.
• [37] Clark, J. A., Gregson, K. & Saffell, R. A. Computer Applications in Agricultural Environments. Proceedings of Previous Easter Schools in Agricultural Science, 1986.
• [38] Basharat, S. Applications of Computer in the Agriculture. 2023; EduInput.
• [38] Basharat, S. Applications of Computer in the Agriculture. 2023; EduInput.
• [39] FAO Using data processing tools for preparing, agricultural development projects. FAO Investment Centre Technical Paper 2. 1985; FAO, Rome, Italy.
• [39] FAO Using data processing tools for preparing, agricultural development projects. FAO Investment Centre Technical Paper 2. 1985; FAO, Rome, Italy.
• [40] Damene, S. & Satyal, P. Soil Erosion Estimation Using Revised Universal Soil Loss Equation Integrated with Geographic Information System by Different Resolution Digital Elevation Model Data in Weyto Sub-Basin, Southern Ethiopia.SINET. Ethiop. J. Sci., 2023; 46(1); 1-16 DOI: https://dx.doi.org/10.4314/sinet.v46i1.1
• [40] Damene, S. & Satyal, P. Soil Erosion Estimation Using Revised Universal Soil Loss Equation Integrated with Geographic Information System by Different Resolution Digital Elevation Model Data in Weyto Sub-Basin, Southern Ethiopia.SINET. Ethiop. J. Sci., 2023; 46(1); 1-16 DOI: https://dx.doi.org/10.4314/sinet.v46i1.1
• [41] Song S., Chen Z., Wei J., Lei Y., Deng C., Tan H. & Li X. Determination of polyoxin b in cucumber and soil using liquid chromatography tandem mass spectrometry coupled with a modified QuEChERS method. Acta Chromatogr, 2019; 31; 157–163 DOI: 10.1556/1326.2018.00427.
• [41] Song S., Chen Z., Wei J., Lei Y., Deng C., Tan H. & Li X. Determination of polyoxin b in cucumber and soil using liquid chromatography tandem mass spectrometry coupled with a modified QuEChERS method. Acta Chromatogr, 2019; 31; 157–163 DOI: 10.1556/1326.2018.00427.
• [42] Rouvire F., Buleté A., & Cren-Olivé C., Arnaudguilhem C. Multiresidue analysis of aromatic organochlorines in soil by gas chromatography‒mass spectrometry and QuEChERS extraction based on water/dichloromethane partitioning. Comparison with accelerated solvent extraction. Talanta., 2012; 93; 336–344 DOI: 10.1016/j.talanta.2012.02.048.
• [42] Rouvire F., Buleté A., & Cren-Olivé C., Arnaudguilhem C. Multiresidue analysis of aromatic organochlorines in soil by gas chromatography‒mass spectrometry and QuEChERS extraction based on water/dichloromethane partitioning. Comparison with accelerated solvent extraction. Talanta., 2012; 93; 336–344 DOI: 10.1016/j.talanta.2012.02.048.
• [43] Trontelj ml, J. & Chambers, O. Machine Learning Strategy for Soil Nutrients Prediction Using Spectroscopic Method. Sensors, 2021; 21(12); 4208 DOI:10.3390/s21124208.
• [43] Trontelj ml, J. & Chambers, O. Machine Learning Strategy for Soil Nutrients Prediction Using Spectroscopic Method. Sensors, 2021; 21(12); 4208 DOI:10.3390/s21124208.
• [44] Vivek M. P. Information Technology in Veterinary Science. 2009; New India Publishing Agency, New Delhi.
• [44] Vivek M. P. Information Technology in Veterinary Science. 2009; New India Publishing Agency, New Delhi.
• [45] Usman, S., Nabayi, A., Hamisu, I. & Abdullahi, A. S. Chapter 34: Digging the environmental resources with soil survey: Concept, Objectives, Types, Stages and Uses. Our Changing Environment and Development ed. (Jacinta A. O.). Metropolitan International University Press, 2020; 302–316.
• [45] Usman, S., Nabayi, A., Hamisu, I. & Abdullahi, A. S. Chapter 34: Digging the environmental resources with soil survey: Concept, Objectives, Types, Stages and Uses. Our Changing Environment and Development ed. (Jacinta A. O.). Metropolitan International University Press, 2020; 302–316.
• [46] Blumenstock, J. Using mobile phone and satellite data to target emergency cash transfer. 2023; CEGA-Medium.
• [46] Blumenstock, J. Using mobile phone and satellite data to target emergency cash transfer. 2023; CEGA-Medium.
• [47] Usman, S, James, O. J., Amana, S. M., Ari, M. M., Danlami, I. A., Usman, K. & Aminu, A. Theoretical concept of advanced science communication for agricultural scientists–a summarized model. Dutse Journal of Agriculture and Food Security, 2023; 9(1); 60–65.
• [47] Usman, S, James, O. J., Amana, S. M., Ari, M. M., Danlami, I. A., Usman, K. & Aminu, A. Theoretical concept of advanced science communication for agricultural scientists–a summarized model. Dutse Journal of Agriculture and Food Security, 2023; 9(1); 60–65.