Table 1 Bibliographic details of the...

Table 1

Bibliographic details of the included works

#	Authors	Title	Year	Source title	Ref
1	Ahmed M., Hayat R., Ahmad M., ul-Hassan M., Kheir A.M.S., ul-Hassan F., ur-Rehman M.H., Shaheen F.A., Raza M.A., Ahmad S.	Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials and Further Work Need	2022	International Journal of Plant Production	Ahmed et al. (2022)
2	Gargiulo J.I., Lyons N.A., Clark C.E.F., Garcia S.C.	The AMS Integrated Management Model: A decision-support system for automatic milking systems	2022	Computers and Electronics in Agriculture	Gargiulo et al. (2022)
3	Li H., Li S., Yu J., Han Y., Dong A.	AIoT Platform Design Based on Front and Rear End Separation Architecture for Smart Agricultural	2022	ACM International Conference Proceeding Series	Li et al. (2022)
4	Kassanuk T., Phasinam K.	Impact of Internet of Things and Machine Learning in Smart Agriculture	2022	ECS Transactions	Kassanuk and Phasinam (2022)
5	Ahamed N.N., Vignesh R.	Smart Agriculture and Food Industry with Blockchain and Artificial Intelligence	2022	Journal of Computer Science	Ahamed and Vignesh (2022)
6	Sood A., Sharma R.K., Bhardwaj A.K.	Artificial intelligence research in agriculture: a review	2022	Online Information Review	Sood et al. (2022)
7	Chiles R.M., Broad G., Gagnon M., Negowetti N., Glenna L., Griffin M.A.M., Tami-Barrera L., Baker S., Beck K.	Democratizing ownership and participation in the 4th Industrial Revolution: challenges and opportunities in cellular agriculture	2021	Agriculture and Human Values	Chiles et al. (2021)
8	Mohr S., Kühl R.	Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior	2021	Precision Agriculture	Mohr and Kühl (2021)
9	Khan N., Kamaruddin M.A., Sheikh U.U., Yusup Y., Bakht M.P.	Oil palm and machine learning: Reviewing one decade of ideas, innovations, applications and gaps	2021	Agriculture (Switzerland)	Khan et al. (2021)
10	Bakhtadze N., Maximov E., Maximova N.	Local Wheat Price Prediction Models	2021	2021 7th International Conference on Control Science and Systems Engineering, ICCSSE 2021	Bakhtadze et al. (2021)
11	Eashwar S., Chawla P.	Evolution of Agritech Business 4.0 – Architecture and Future Research Directions	2021	IOP Conference Series: Earth and Environmental Science	Eashwar and Chawla (2021)
12	Bogomolov A., Nevezhin V., Larionova M., Piskun E.	Review of digital technologies in agriculture as a factor that removes the growth limits to human civilization	2021	E3S Web of Conferences	Bogomolov et al. (2021)
13	Wakjira K., Negera T., Zacepins A., Kviesis A., Komasilovs V., Fiedler S., Kirchner S., Hensel O., Purnomo D., Nawawi M., Paramita A., Rachman O.F., Pratama A., Faizah N.A., Lemma M., Schaedlich S., Zur A., Sper M., Proschek K., Gratzer K., Brodschneider R.	Smart apiculture management services for developing countries—the case of SAMS project in Ethiopia and Indonesia	2021	PeerJ Computer Science	Wakjira et al. (2021)
14	Panpatte S., Ganeshkumar C.	Artificial Intelligence in Agriculture Sector: Case Study of Blue River Technology	2021	Lecture Notes in Networks and Systems	Panpatte and Ganeshkumar (2021)
15	Choi J., Koshizuka N.	Optimal Harvest date Prediction by Integrating Past and Future Feature Variables	2019	2019 IEEE Asia–Pacific Conference on Computer Science and Data Engineering, CSDE 2019	Choi and Koshizuka (2019)
16	Backman J., Linkolehto R., Koistinen M., Nikander J., Ronkainen A., Kaivosoja J., Suomi P., Pesonen L.	Cropinfra research data collection platform for ISO 11783 compatible and retrofit farm equipment	2019	Computers and Electronics in Agriculture	Backman et al. (2019)
17	Thomas D.T., Mitchell P.J., Zurcher E.J., Herrmann N.I., Pasanen J., Sharman C., Henry D.A.	Pasture API: A digital platform to support grazing management for southern Australia	2019	23rd International Congress on Modelling and Simulation - Supporting Evidence-Based Decision Making: The Role of Modelling and Simulation, MODSIM 2019	Thomas et al. (2019)
18	Skobelev P., Larukchin V., Mayorov I., Simonova E., Yalovenko O.	Smart Farming – Open Multi-agent Platform and Eco-System of Smart Services for Precision Farming	2019	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	Skobelev et al. (2019)
19	Kamariotou M., Kitsios F., Madas M., Manthou V., Vlachopoulou M.	Strategic Decision Making and Information Management in the Agrifood Sector	2019	Communications in Computer and Information Science	Kamariotou et al. (2019)
20	Sahu S., Chawla M., Khare N.	Viable crop prediction scenario in bigdata using a novel approach	2019	Advances in Intelligent Systems and Computing	Sahu et al. (2019)
21	Balaji Prabhu B.V., Dakshayini M.	Performance Analysis of the Regression and Time Series Predictive Models using Parallel Implementation for Agricultural Data	2018	Procedia Computer Science	Balaji Prabhu and Dakshayini (2018)
22	Rao M., Chhabria R., Gunasekaran A., Mandal P.	Improving competitiveness through performance evaluation using the APC model: A case in micro-irrigation	2018	International Journal of Production Economics	Rao et al. (2018)
23	Li J., Gao H., Liu Y.	Requirement analysis for the one-stop logistics management of fresh agricultural products	2017	Journal of Physics: Conference Series	Li et al. (2017b)
24	Wolfert S., Ge L., Verdouw C., Bogaardt M.-J.	Big Data in Smart Farming – A review	2017	Agricultural Systems	Wolfert et al. (2017)
25	Nada A., Nasr M., Salah M.	Service oriented approach for decision support systems	2014	2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014	Nada et al. (2014)
26	Vizzari M., Modica G.	Environmental effectiveness of swine sewage management: A multicriteria AHP-based model for a reliable quick assessment	2013	Environmental Management	Vizzari and Modica (2013)
27	Lima M.L., Romanelli A., Massone H.E.	Decision support model for assessing aquifer pollution hazard and prioritizing groundwater resources management in the wet Pampa plain, Argentina	2013	Environmental Monitoring and Assessment	Lima et al. (2013)
28	Le Page M., Berjamy B., Fakir Y., Bourgin F., Jarlan L., Abourida A., Benrhanem M., Jacob G., Huber M., Sghrer F., Simonneaux V., Chehbouni G.	An Integrated DSS for Groundwater Management Based on Remote Sensing. The Case of a Semi-arid Aquifer in Morocco	2012	Water Resources Management	Le Page et al. (2012)
29	Deng J., Chen X., Du Z., Zhang Y.	Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China	2011	Water Resources Management	Deng et al. (2011)
30	Carmona G., Varela-Ortega C., Bromley J.	The Use of Participatory Object-Oriented Bayesian Networks and Agro-Economic Models for Groundwater Management in Spain	2011	Water Resources Management	Carmona et al. (2011)
31	Tironi A., Marin V.H., Campuzano F.J.	A management tool for assessing aquaculture environmental impacts in Chilean Patagonian fjords: Integrating hydrodynamic and pellets dispersion models	2010	Environmental Management	Tironi et al. (2010)
32	Manos B.D., Papathanasiou J., Bournaris T., Voudouris K.	A DSS for sustainable development and environmental protection of agricultural regions	2010	Environmental Monitoring and Assessment	Manos et al. (2010)
33	d'Orgeval T., Boulanger J.-P., Capalbo M.J., Guevara E., Penalba O., Meira S.	Yield estimation and sowing date optimization based on seasonal climate information in the three CLARIS sites	2010	Climatic Change	d’Orgeval et al. (2010)
34	Wang H., Zhang X., Wang W., Zheng Y.	Research and implement of maize variety promotion decision support system based on WebGIS	2009	IFIP International Federation for Information Processing	Wang et al. (2009)
35	Nangia V., Turral H., Molden D.	Increasing water productivity with improved N fertilizer management	2008	Irrigation and Drainage Systems	Nangia et al. (2008)
36	Cabrera V.E., Breuer N.E., Hildebrand P.E.	Participatory modeling in dairy farm systems: A method for building consensual environmental sustainability using seasonal climate forecasts	2008	Climatic Change	Cabrera et al. (2008)
37	Diaz B., Ribeiro A., Bueno R., Guinea D., Barroso J., Ruiz D., Fernadez-Quintanilla C.	Modelling wild-oat density in terms of soil factors: A machine learning approach	2005	Precision Agriculture	Diaz et al. (2005)

#	Authors	Title	Year	Source title	Ref
1	Ahmed M., Hayat R., Ahmad M., ul-Hassan M., Kheir A.M.S., ul-Hassan F., ur-Rehman M.H., Shaheen F.A., Raza M.A., Ahmad S.	Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials and Further Work Need	2022	International Journal of Plant Production	Ahmed et al. (2022)
2	Gargiulo J.I., Lyons N.A., Clark C.E.F., Garcia S.C.	The AMS Integrated Management Model: A decision-support system for automatic milking systems	2022	Computers and Electronics in Agriculture	Gargiulo et al. (2022)
3	Li H., Li S., Yu J., Han Y., Dong A.	AIoT Platform Design Based on Front and Rear End Separation Architecture for Smart Agricultural	2022	ACM International Conference Proceeding Series	Li et al. (2022)
4	Kassanuk T., Phasinam K.	Impact of Internet of Things and Machine Learning in Smart Agriculture	2022	ECS Transactions	Kassanuk and Phasinam (2022)
5	Ahamed N.N., Vignesh R.	Smart Agriculture and Food Industry with Blockchain and Artificial Intelligence	2022	Journal of Computer Science	Ahamed and Vignesh (2022)
6	Sood A., Sharma R.K., Bhardwaj A.K.	Artificial intelligence research in agriculture: a review	2022	Online Information Review	Sood et al. (2022)
7	Chiles R.M., Broad G., Gagnon M., Negowetti N., Glenna L., Griffin M.A.M., Tami-Barrera L., Baker S., Beck K.	Democratizing ownership and participation in the 4th Industrial Revolution: challenges and opportunities in cellular agriculture	2021	Agriculture and Human Values	Chiles et al. (2021)
8	Mohr S., Kühl R.	Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior	2021	Precision Agriculture	Mohr and Kühl (2021)
9	Khan N., Kamaruddin M.A., Sheikh U.U., Yusup Y., Bakht M.P.	Oil palm and machine learning: Reviewing one decade of ideas, innovations, applications and gaps	2021	Agriculture (Switzerland)	Khan et al. (2021)
10	Bakhtadze N., Maximov E., Maximova N.	Local Wheat Price Prediction Models	2021	2021 7th International Conference on Control Science and Systems Engineering, ICCSSE 2021	Bakhtadze et al. (2021)
11	Eashwar S., Chawla P.	Evolution of Agritech Business 4.0 – Architecture and Future Research Directions	2021	IOP Conference Series: Earth and Environmental Science	Eashwar and Chawla (2021)
12	Bogomolov A., Nevezhin V., Larionova M., Piskun E.	Review of digital technologies in agriculture as a factor that removes the growth limits to human civilization	2021	E3S Web of Conferences	Bogomolov et al. (2021)
13	Wakjira K., Negera T., Zacepins A., Kviesis A., Komasilovs V., Fiedler S., Kirchner S., Hensel O., Purnomo D., Nawawi M., Paramita A., Rachman O.F., Pratama A., Faizah N.A., Lemma M., Schaedlich S., Zur A., Sper M., Proschek K., Gratzer K., Brodschneider R.	Smart apiculture management services for developing countries—the case of SAMS project in Ethiopia and Indonesia	2021	PeerJ Computer Science	Wakjira et al. (2021)
14	Panpatte S., Ganeshkumar C.	Artificial Intelligence in Agriculture Sector: Case Study of Blue River Technology	2021	Lecture Notes in Networks and Systems	Panpatte and Ganeshkumar (2021)
15	Choi J., Koshizuka N.	Optimal Harvest date Prediction by Integrating Past and Future Feature Variables	2019	2019 IEEE Asia–Pacific Conference on Computer Science and Data Engineering, CSDE 2019	Choi and Koshizuka (2019)
16	Backman J., Linkolehto R., Koistinen M., Nikander J., Ronkainen A., Kaivosoja J., Suomi P., Pesonen L.	Cropinfra research data collection platform for ISO 11783 compatible and retrofit farm equipment	2019	Computers and Electronics in Agriculture	Backman et al. (2019)
17	Thomas D.T., Mitchell P.J., Zurcher E.J., Herrmann N.I., Pasanen J., Sharman C., Henry D.A.	Pasture API: A digital platform to support grazing management for southern Australia	2019	23rd International Congress on Modelling and Simulation - Supporting Evidence-Based Decision Making: The Role of Modelling and Simulation, MODSIM 2019	Thomas et al. (2019)
18	Skobelev P., Larukchin V., Mayorov I., Simonova E., Yalovenko O.	Smart Farming – Open Multi-agent Platform and Eco-System of Smart Services for Precision Farming	2019	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	Skobelev et al. (2019)
19	Kamariotou M., Kitsios F., Madas M., Manthou V., Vlachopoulou M.	Strategic Decision Making and Information Management in the Agrifood Sector	2019	Communications in Computer and Information Science	Kamariotou et al. (2019)
20	Sahu S., Chawla M., Khare N.	Viable crop prediction scenario in bigdata using a novel approach	2019	Advances in Intelligent Systems and Computing	Sahu et al. (2019)
21	Balaji Prabhu B.V., Dakshayini M.	Performance Analysis of the Regression and Time Series Predictive Models using Parallel Implementation for Agricultural Data	2018	Procedia Computer Science	Balaji Prabhu and Dakshayini (2018)
22	Rao M., Chhabria R., Gunasekaran A., Mandal P.	Improving competitiveness through performance evaluation using the APC model: A case in micro-irrigation	2018	International Journal of Production Economics	Rao et al. (2018)
23	Li J., Gao H., Liu Y.	Requirement analysis for the one-stop logistics management of fresh agricultural products	2017	Journal of Physics: Conference Series	Li et al. (2017b)
24	Wolfert S., Ge L., Verdouw C., Bogaardt M.-J.	Big Data in Smart Farming – A review	2017	Agricultural Systems	Wolfert et al. (2017)
25	Nada A., Nasr M., Salah M.	Service oriented approach for decision support systems	2014	2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014	Nada et al. (2014)
26	Vizzari M., Modica G.	Environmental effectiveness of swine sewage management: A multicriteria AHP-based model for a reliable quick assessment	2013	Environmental Management	Vizzari and Modica (2013)
27	Lima M.L., Romanelli A., Massone H.E.	Decision support model for assessing aquifer pollution hazard and prioritizing groundwater resources management in the wet Pampa plain, Argentina	2013	Environmental Monitoring and Assessment	Lima et al. (2013)
28	Le Page M., Berjamy B., Fakir Y., Bourgin F., Jarlan L., Abourida A., Benrhanem M., Jacob G., Huber M., Sghrer F., Simonneaux V., Chehbouni G.	An Integrated DSS for Groundwater Management Based on Remote Sensing. The Case of a Semi-arid Aquifer in Morocco	2012	Water Resources Management	Le Page et al. (2012)
29	Deng J., Chen X., Du Z., Zhang Y.	Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China	2011	Water Resources Management	Deng et al. (2011)
30	Carmona G., Varela-Ortega C., Bromley J.	The Use of Participatory Object-Oriented Bayesian Networks and Agro-Economic Models for Groundwater Management in Spain	2011	Water Resources Management	Carmona et al. (2011)
31	Tironi A., Marin V.H., Campuzano F.J.	A management tool for assessing aquaculture environmental impacts in Chilean Patagonian fjords: Integrating hydrodynamic and pellets dispersion models	2010	Environmental Management	Tironi et al. (2010)
32	Manos B.D., Papathanasiou J., Bournaris T., Voudouris K.	A DSS for sustainable development and environmental protection of agricultural regions	2010	Environmental Monitoring and Assessment	Manos et al. (2010)
33	d'Orgeval T., Boulanger J.-P., Capalbo M.J., Guevara E., Penalba O., Meira S.	Yield estimation and sowing date optimization based on seasonal climate information in the three CLARIS sites	2010	Climatic Change	d’Orgeval et al. (2010)
34	Wang H., Zhang X., Wang W., Zheng Y.	Research and implement of maize variety promotion decision support system based on WebGIS	2009	IFIP International Federation for Information Processing	Wang et al. (2009)
35	Nangia V., Turral H., Molden D.	Increasing water productivity with improved N fertilizer management	2008	Irrigation and Drainage Systems	Nangia et al. (2008)
36	Cabrera V.E., Breuer N.E., Hildebrand P.E.	Participatory modeling in dairy farm systems: A method for building consensual environmental sustainability using seasonal climate forecasts	2008	Climatic Change	Cabrera et al. (2008)
37	Diaz B., Ribeiro A., Bueno R., Guinea D., Barroso J., Ruiz D., Fernadez-Quintanilla C.	Modelling wild-oat density in terms of soil factors: A machine learning approach	2005	Precision Agriculture	Diaz et al. (2005)

Source(s): Authors work

[ViewLarge]