Research Products

Research Publications

# Articles in Refereed Journals

1. Alvarez, I.C and Govind, A (2025). Environmental and Climate Variability in Senegal Over the Last Two Decades: A Remote Sensing Approach to Assessing Climate Vulnerability in a Sahelian Country. Remote Sensing Applications: Society and Environment, 38, 101584, https://doi.org/10.1016/j.rsase.2025.101584

2. Govind, A (2025). A Gap Analysis to Improve Climate Information Services in Mali to Foster Climate Smart Agriculture. Adv in Hydro & Meteorol. 3(1): AHM.MS.ID.000552. DOI: 10.33552/AHM.2025.03.000552 

3. Alvarez, C.I., Govind, A. Assessing climate and land use changes in Morocco (2001–2023): from a geospatial and farmers’ perspective. Theor Appl Climatol 156, 420 (2025). https://doi.org/10.1007/s00704-025-05656-z  

4. Bijlwan, A; Ranjan, R; Pokhariyal, S; Govind, A; Singh, A. K; Singh, R.K; Rajput, R.K.S; Srivastava, R.K (2025). Enhancing Rice Disease and Insect-Pest Detection through Augmented Deep Learning with Transfer Learning Techniques . Smart Agricultural Technology. 11, 100954. https://doi.org/10.1016/j.atech.2025.100954 

5. Singha, C., Sahoo, S., & Govind, A. (2025). Optimizing water management and climate-resilient agriculture in rice-fallow regions of the Dwarakeswar river basin using ML models. In Discover Applied Sciences (Vol. 7, Issue 4). https://doi.org/10.1007/s42452-025-06797-6 

6. Mangal, M and Govind, A (2025). Water, Agriculture, And Climate: A Study of Moroccan Agricultural Water Management Policy. Water Policy (in press).

7. Singha, C., Sahoo, S., & Govind, A. (2025). Transforming Soil Quality Index Predictions in the Nile River Basin Using Hybrid Stacking Machine Learning Techniques. In Advances in Space Research. https://doi.org/10.1016/j.asr.2025.03.058 

8. Kheir, A. M. S., Govind, A., Nangia, V., El-Maghraby, M. A., Elnashar, A., Ahmed, M., Aboelsoud, H., Gamal, R., & Feike, T. (2025). Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality. In Computers and Electronics in Agriculture (Vol. 234, p. 110317). https://doi.org/10.1016/j.compag.2025.110317 

9. Roy, D., Das, B., Singh, P. et al. (2025) Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones. Sci Rep 15, 10824 (2025). https://doi.org/10.1038/s41598-025-92135-0  

10. Sahoo,S; Singha,C; Govind,A and  and Sharma, M (2025). Leveraging Machine Learning to Predict Climate Change Impact on Rice Crop Disease in Eastern India, Environmental Monitoring and Assessment . 197, 366 (2025).  https://doi.org/10.1007/s10661-025-13744-w   

11. Sahoo, S., Singha, C., Govind, A. et al. Review of aquifer storage and recovery opportunities and challenges in India. Environ Earth Sci 84, 122 (2025). https://doi.org/10.1007/s12665-025-12124-4 

12. Singha, C., Sahoo, S., Mahtaj, A. B., Moghimi, A., Welzel, M., & Govind, A. (2025). Advancing flood risk assessment: Multitemporal SAR-based flood inventory generation using transfer learning and hybrid fuzzy-AHP-machine learning for flood susceptibility mapping in the Mahananda River Basin. In Journal of Environmental Management (Vol. 380, p. 124972).  https://doi.org/10.1016/j.jenvman.2025.124972  

13. Moghimi, A; Sahoo,S; Singha,C and Govind,A (2025). Review of Climate-Resilient Agriculture for Ensuring Food Security: Sustainability Opportunities and Challenges of India. Environmental and Sustainability Indicators . Volume 25 (100544), https://doi.org/10.1016/j.indic.2024.100544 

14. Mabhaudhi, T; Dirwai, T.L; Taguta, C; Chimonyo, V; Senzanje, A; Abera, W; Govind, A; Dossou-Yovo, E.R (2024), Linking Weather and Climate Information Services (WCIS) to Climate-Smart Agriculture (CSA) Practices: Optimising CSA for Enhanced Agricultural Water Management Across Multiple Scales. Climate Services. Volume 37 (100529).  https://doi.org/10.1016/j.cliser.2024.100529 

15. Sahoo, S, Sinha, C and Govind, A (2024). Review of Climate-Resilient Agriculture for Ensuring Food Security: Sustainability Opportunities and Challenges of India,Environmental and Sustainability Indicators https://doi.org/10.1016/j.indic.2024.100544  

16. Peethani,S; Pathakoti,M;  Mahalakshmi, D.V; Kheir, A; Singh, A and Govind,A (2024). Variability of ENSO teleconnections indices, and its impacts on Moroccan Agriculture , Journal of Atmospheric and Solar-Terrestrial Physics. Volume 265 (106386),  https://doi.org/10.1016/j.jastp.2024.106386 

17. Sahoo, S; Singha,C and Govind, A (2024). Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India, Journal of Agriculture and Food Research, Volume 18 (101424) https://doi.org/10.1016/j.jafr.2024.101424 

18. Ben Salem, I., Rouatbi, M., Mlika, M., Getachew, T., Govind, A., Haile, A., Raggem, M., Lahsoumi, R., & Rekik, M. (2024). Response of maiden ewes to the 'ram effect' is a robust management practice and a candidate selection trait for enhanced reproductive performance in drylands. 18 (11) p. 101332  https://doi.org/10.1016/j.animal.2024.101332 

19. Govind, A (2024). Vegetation as "Reed Diffusers" Accelerate the Hydrological Cycle of Arid Land surface. Advances in Hydrology & Meteorology, http://doi.org/10.33552/AHM.2024.02.000529 

20. Unnisa, Z., Govind, A., Prikaziuk, E., Van der Tol, C., Lasserre, B., Burchard-Levine, V., & Marchetti, M. (2024). Assessing Evapotranspiration Models for Regional Implementation in the Mediterranean: A Comparative Analysis of STEPS, TSEB, and SCOPE with Global Datasets. In Applied Sciences (Vol. 14, Issue 17, p. 7685). https://doi.org/10.3390/app14177685

21. Singha, C., Bhattacharjee, I., Sahoo, S., Abdelrahman, K., Uddin, M. G., Fnais, M. S., Govind, A., & Abioui, M. (2024). Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal. In Journal of Environmental Management,  370, 22721. https://doi.org/10.1016/j.jenvman.2024.122721 

22. Kurbanova,Z; Tadjieva,A;  Djanibekova, N; Govind, A and Akramkhanov, A. (2024). Farmers' participation in messenger-based social groups in irrigated areas of Kazakhstan and Uzbekistan. Agribusiness. https://doi.org/10.1002/agr.21995 

23. Nguyen Quang Thi, Ajit Govind, and Tuyen V. Ha (2025). Spatial and temporal variability of soil moisture active and passive (SMAP) droughts and their impacts on vegetation in the Central Highlands of Vietnam. Environmental Monitoring Assessment. Volume 197, 203, (2025). https://doi.org/10.1007/s10661-025-13622-5 

24. Dhehibi, B., M. E. Haddad, E. Gotink, A. Souissi, M. Al Hiary, S. M. Strohmeier, M. Alnsour, J. Zawaidah, M. E.-D. Hilali, A. Govind, and N. Vinay. (2024). Evaluating Agro-Silvo-Pastoral Rehabilitation: Water, Resilience, and Community Perceptions of Ecosystem Services in the Jordan Valley. http://dx.doi.org/10.2139/ssrn.4836802  

25. Alvarez, C. I., & Govind, A. (2024). Using Remote Sensing Data in the Cloud to Monitor Climate Change in Senegal Regions Based on Seasonal Variables from 2000 to 2020. An Opportunity to Sustainable Policies. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (Vol. 12735, pp. 921–925). IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE. https://doi.org/10.1109/igarss53475.2024.10641322 

26. Sahoo, S., Singha, C. & Govind, A. (2024). Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India. Paddy Water Environ. https://doi.org/10.1007/s10333-024-00970-0

27. Kheir, A.M.S; Govind, A; Nangia, V;  Elnashar, A;  Devkota, M; Omar, M and Feike, T (2024). Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather. Environmental Research Communications.https://iopscience.iop.org/article/10.1088/2515-7620/ad2d02

28. Ahmed M.S. Kheir., Abdelrazek Elnashar, Alaa Mosaad, Ajit Govind (2023). An Improved Deep Learning Procedure for Statistical Downscaling of Climate Data, Heliyon, 9, e18200, https://doi.org/10.1016/j.heliyon.2023.e18200 .

29. Chiranjit Singha, Satiprasad Sahoo, Ajit Govind, Biswajeet Pradhan, Shatha Alrawashdeh, Taghreed Hamdi Aljohani, Hussein Almohamad, Abu Reza Md Towfiqul Islam, Hazem Ghassan Abdo; Impacts of hydroclimate change on climate-resilient agriculture at the river basin management. Journal of Water and Climate Change 2023; jwc2023656. doi: https://doi.org/10.2166/wcc.2023.656

30. Kheir, Ahmed; Mkuhlani, Siyabusa ;  Mugo, Jane ; Elnashar, Abdelrazek ; Nangia, Vinay; Devare, Medha; Govind, Ajit (2023). Integrating APSIM model with machine learning to predict wheat spatial distribution. Agronomy Journal, ASA https://doi.org/10.1002/agj2.21470

31. Kheir, A.M.S.; Govind, A.; Zoghdan, M.G.; Khalifa, T.H.; Aboelsoud, H.M.; Shabana, M.M.A. The Fusion Impact of Compost, Biochar, and Polymer on Sandy Soil Properties and Bean Productivity. Agronomy 2023, 13, 2544. https://doi.org/10.3390/agronomy13102544

32. NQ Thi, A Govind, MH Le, NT Linh, TTM Anh, NK Hai, TV Ha (2023). Spatiotemporal characterization of droughts and vegetation response in Northwest Africa from 1981 to 2020. The Egyptian Journal of Remote Sensing and Space Science 26 (3), 393-401. https://doi.org/10.1016/j.ejrs.2023.05.006

33. Pokhariyal, S.; Patel, N.R.; Govind, A. Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review. Agronomy 2023, 13, 2302. https://doi.org/10.3390/agronomy13092302

34. Singha,C; Swain, K.C; Sahoo, S and Govind, A (2023).Prediction of Soil Nutrients through PLSR and SVMR Models by VIs-NIR Reflectance Spectroscopy. The Egyptian Journal of Remote Sensing and Space Science 26(4). 901-918. https://doi.org/10.1016/j.ejrs.2023.10.005

35. Sahoo, S.; Govind, A. (2023). Understanding Changes in the Hydrometeorological Conditions towards Climate-Resilient Agricultural Interventions in Ethiopia. Agronomy 2023, 13, 387. https://doi.org/10.3390/agronomy13020387

36. Aboelsoud, H M.; Habib, A; Engel, B; Hashem, A, A.; El-Hassan, W,A; Govind, A; Elnashar, A; Eid, M; Kheir,A (2023).  The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting. Journal of Hydrology: Regional Studies. Volume 47, June 2023, 101372. https://doi.org/10.1016/j.ejrh.2023.101372

37. Sahoo, S.; Govind, A. Understanding Changes in the Hydrometeorological Conditions towards Climate-Resilient Agricultural Interventions in Ethiopia. Agronomy 2023, 13, 387. https://doi.org/10.3390/agronomy13020387

38. Unnisa, Z.; Govind, A.; Lasserre, B.; Marchetti, M. Water Balance Trends along Climatic Variations in the Mediterranean Basin over the Past Decades. Water 2023, 15, 1889. https://doi.org/10.3390/w15101889

39. AW Worqlul, M Haddad, S Alemayehu, A Govind (2023). Developing a satellite-based combined land degradation index for monitoring environmental change: A case study in Tana-Beles watershed, Upper Blue Nile, Ethiopia. Remote Sensing Applications: Society and Environment,101050, https://doi.org/10.1016/j.rsase.2023.101050

40. Govind, A (2022). Towards Climate Change Preparedness in MENA's Agricultural Sector, Agronomy 2022, 12(2), 279; https://doi.org/10.3390/agronomy12020279

41. Läderach P, Merrey DJ, Schapendonk F, Dhehibi B, Ruckstuhl S, Mapedza E, Najjar D, Dessalegn B, GirirajA, Nangia V, Al-Zu'bi M, Biradar C, Pacillo G, Govind A, Hakhu A, Yigezu YA, Dutta Gupta T, Madurga-LopezI, Lahham N, Cosgrove B, Joshi D, Grosjean G, Hugh B, Elmahdi A, Frija A, Udalagama U, Nicol A. 2022.Strengthening Climate Security in the Middle East and North Africa Region. Position Paper No. 2022/3. CGIARFOCUS Climate Security (link).

42. Attia, A.; Govind, A.; Qureshi, A.S.; Feike, T.; Rizk, M.S.; Shabana, M.M.A.; Kheir, A.M.S. Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments. Water 2022, 14, 3647. https://www.mdpi.com/2073-4441/14/22/3647

43. Liu,Y; Wu,C; Liu,L; Gu,C; Black,A; Jassal,R.S;  Hörtnagl,L; Montagnan,L; Moyano,F; Varlagin,A; Arain,M.A; Govind, A (2021). Interannual and spatial variability of net ecosystem production in forests explained by an integrated physiological indicator in summer, Ecological Indicators, 129 (107982).  https://doi.org/10.1016/j.ecolind.2021.107982 

44. Govind, A; Wery, J; Dessalegn, B; Elmahdi, A; Bishaw, Z; Nangia, V; Biradar, C; Nisa, Z; Abay, K; Amarnath, G; Breisinger, C; Ibrahim, N; Kleinermann, C; Niane, A and Marja, T (2021) A Holistic Framework Towards Developing a Climate Smart Agrifood System in the Middle East and North Africa: A Regional Dialogue and Synthesis, Agronomy 2021, 11(11), 2351; https://doi.org/10.3390/agronomy11112351  

45. Nisa, Z; Khan,M.S; Govind,A; Marchetti,M; Lasserre,B; Magliulo, E and Manco, A (2021). Evaluation of SEBS, METRIC-EEFlux, and QWater Actual Evapotranspiration for Mediterranean Rotation Maize Cropland in Southern Italy. Agronomy, 1079698.

46. Nisa, Z; Govind, A; Marchetti,M and Lasserre, B (2021). Water Productivity Assessment of Wheat and Barley in Mediterranean  Region: Review And Recommendations, Irrigation And Drainage, 71 (S1), 51-70.  https://doi.org/10.1002/ird.2710 

47. Karthikeyan, K; Kumar, N; Govind, A; Pushpanjali and Prasad, J (2020). Assessment of Soil Site Suitability for Cotton farming in the Semi-arid Regions of Central India: An Analytical Hierarchy Process. J of the Indian Society of Soil Science. 67(4).

48. Athira, K., Sooraj, N. P., Jaishanker, R., Saroj Kumar, V., Sajeev, C. R., Pillai, M. S., Govind, A, and Dadhwal, V. K. (2019). Quantitative Representation of Floral Colors. Color Research and Application, 44:426–432.

49. Athira, K., Sooraj, N. P., Jaishanker, R., Saroj Kumar, V., Sajeev, C. R., Pillai, M. S., Govind, A, Ramarao, N and Dadhwal, V. K. (2019). Chromatic exclusivity hypothesis and the physical basis of floral color. Ecological Informatics, 49, 40–44.

50. Kumari, J, and Govind, A (2017), Greening trends of the Indian landmass, Ecology, Environment & Conservation, 23 (3),1605-1614.

51. Rawat, J.S; Govind, A; Rawat, G; Rai, S.P; Joshi, M and Gahlot, N (2016). Perennial to Ephemeral Transformation of a lesser-Himalayan Watershed, Current Science 111 (4), 686-694 (*shared first authorship).

52. Govind, A; Cowling, S; Kumari, J; Rajan, N and Al Yaari, A (2015). Distributed Modeling of Ecohydrological Processes at High Spatial Resolution Over a Landscape having Patches of Managed Forest Stands and Crop Fields in SW Europe. Ecological Modeling, 10.1016/j.ecolmodel.2014.10.019.

53. Pisek1,J;  Govind,A;  Arndt,S;  Hocking,D;  Wardlaw,T;  Fang,H;  Matteucci,G;  Longdoz,B  and  Suarez,L  (2015). Intercomparison of clumping index estimates from POLDER, MODIS, and MISR data over reference sites, ISPRS J. Photogramm. Remote Sens. 101, 47–56.

54. Govind, A. and Kumari, J. (2014).  Understanding the Terrestrial Carbon Cycle: An Ecohydrological Perspective, Int. Journal of Ecology, Article ID 712537.

55. Al Yaari,A; Wigneron,J-P; Ducharne,A; De Rosnay,P; Kerr, Y ; De Jeu, R; Govind,A; Al Bitar, A; Albergel,C; Balsamo,G and (2014). Global-scale evaluation of two passive microwave satellite-based soil moisture datasets (SMOS and AMSR-E) with respect to modeled estimates. Remote Sensing of Environment. 149, 181-195, doi:10.1016/j.rse.2014.04.006.

56. Défossez,P; Richard,G; Keller,T; Adamiade,V; Govind,A; and Mary,B (2014). Modeling the impact of declining soil organic carbon on the soil mechanical strength: application to a cultivated Eutric Cambisol with massive straw exportation for energy production in Northern France. Soil & Tillage Research, 141, 44-54.

57. Govind, A; Guyon, D; Roujean, J-L; Yauschew-Raguenes, N; Kumari, J; Pisek, P; Wigneron, J-P (2013) Effects of Canopy Architectural Parameterizations on the Modeling of Radiative Transfer Mechanism.   Ecological Modeling.251(2013), 114-126.

58. Govind, A (2013). On the Nature of Canopy Illumination due to Differences in Elemental Orientation and Aggregation for Radiative Transfer. International Journal of Biometeorology (DOI: 10.1007/s00484-013-0769-1).

59. Wang, Z; Grant, R.; Arain, A; Bernier, P; Chen, B; Chen, J; Govind,  A.; Guindon, L; Kurz, W. A; Peng, C; Price, D.T; Stinson, G; Sun, J; Trofymow J. A. and Yeluripati, J. (2013) Incorporating Weather Sensitivity in Inventory- based Estimates of Boreal Forest Productivity: A Meta-analysis of Process Model Results. Ecological Modeling 260, 25-35.

60. Govind, A., Chen, J.M., Bernier, P.Y., Margolis, H., Guindon, L. and Beaudoin, A. (2011). Spatially Distributed Modeling of the Long-Term Carbon Balance of a Boreal Landscape. Ecological Modeling. 222(15), 2780-2795.

61. Govind, A., Chen, J.M., McDonnell, J, Kumari, J and Sonnentag, O. (2010). Effect of Lateral Hydrological Processes on Photosynthesis and Evapotranspiration., Ecohydrology.3. (DOI: 10.1002/eco.141).

62. Govind, A., Chen, J.M.; and Ju, W.(2009b).  Spatially Explicit Simulation of Hydrologically Controlled Carbon and Nitrogen Cycles and Associated Feedback Mechanisms in a Boreal Ecosystem. Journal of Geophysical Research.114, G02006, (DOI: 10.1029/2008JG000728).

63. Govind, A., Chen, J.M., Margolis, H., Ju, W., Sonnentag, O and Giasson, M.A. (2009a). A Spatially Explicit Hydro- ecological Modeling Framework (BEPS-TerrainLab V2.0): Model Description and Test in a Boreal Ecosystem in Eastern North America, Journal of Hydrology. 367:200-216. (doi:10.1016/j.jhydrol.2009.01.006).

64. Sonnentag, O; Chen, J.M; Roulet, N.T; Ju, W; and Govind, A (2008). Spatially Explicit Simulation of Peatland Hydrology and Carbon Dioxide Exchange: the Influence of Mesoscale Topography. Journal of Geophysical Research 113, G02005, (DOI: 10.1029/2007JG000605).

65. Sonnentag, O; Chen, J.M; Roberts, D; Talbot, J; Halligan, K; Govind A (2007) Mapping Tree and Shrub Leaf Area Indices in an Ombrotrophic Peatland Using Field Measurements and Multiple End Member Spectral Mixture Analysis. Remote Sensing of Environment. 109:342-360.

66. Chen. J.M, Govind, A; Sonnentag, O; Zhang, Y; Amiro, B and Barr, A(2006): Leaf Area Index of Fluxnet Canada sites.Agricultural and Forest Meteorology.140:257-268.

67. Kumari. J, Govind.A and Govind. A* (2006): Entropy Change as Influenced by Anthropogenic Impact on a Boreal Land Cover-A Case Study. Journal of Environmental Informatics 7(2) 75-83. *Arun Govind, Univ. of Saskatchewan, Canada.

68. Kumari. J, Govind.A and Govind. A* (2006):  Light Use Index:  A  Biophysical  Index to  Predict  Plant  Growth Parameters. Journal of Agrometeorology 8(2).  *Arun Govind, Univ. of Saskatchewan, Canada.

69. Govind. A; Bhavanarayana, M; Kumari. J, and Govind. A* (2005): Efficacy of Different Indices Derived from Spectral Reflectance of Wheat for Nitrogen Stress Detection. Journal of Plant Interactions 1(2):93-105.  *Arun Govind, Univ. of Saskatchewan, Canada.

70. Govind,A ; Bonnefond, J-M; Kumari,J; Moisy,C; Loustau,D and Wigneron,J-P (2012), Modeling the eco-hydrological processes in the Landes de Gascogne, SW France, Proceedings of Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2012 IEEE Fourth Intnl.Symposium, vol., no., pp.133,140. (peer-reviewed proceedings)

71. Regniers, O.; Govind, A.; Guyon, D.; Wigneron, J.; Baret, F., A multiscale and multisensor approach of LAI retrieval in a maritime pine ecosystem, Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, vol., no., pp.1695,1698, 22-27 July 2012, DOI: 10.1109/IGARSS.2012.635119 (peer-reviewed proceedings)

72. Govind, A., Guyon, D., Wigneron, J.-P. (2010). Effect of Canopy Architecture on Carbon and Water Fluxes: a numerical experiment. Proceedings of LANDMOD 2010 - International Conference on Integrative Landscape Modelling, Montpellier, France. (2010-02-03 - 2010-02-05). (peer-reviewed proceedings)

73. Alyaari, A; Wigneron, JP.; Ducharne, A; Kerr, Y.; Al Bitar, A; de Jeu, R.; Govind, A; de Rosnay, P.; Albergel, C.; Munoz- Sabater, J., Performances of SMOS and AMSR-E soil moisture retrievals against Land Data Assimilation system estimates, Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2014 13th Specialist Meeting vol., no., pp.19,24, 24-27 March 2014 DOI: 10.1109/MicroRad.2014.6878900 (peer-reviewed proceedings).

74. Swelam, A; Govind, A; Abdallah, M; Steduto, P and Taha, A (2019) Validation of Remote-Sensing Evapotranspiration Data of Selected Crops in The Nile Delta. Full Paper on 3rd World Irrigation Forum (WiF3), ST-3.1 W.3.1.04.

# Articles in Refereed Journals (PIPELINE)

75. Özdoğan1,M; Nisa, Z; and Govind, A (2024). Tree Cover Changes in Senegal During the past Three Decades: Implications on the Sahelian Great Green Wall. Ecological Indicators (under review).

76. Peethani, S; Kheir,A; Foloronso, A and Govind, A (2024). Assessment of heat stress vulnerability and potential adaptations among farmers in Senegal, Environmental Research Letters (in revision).

77. Mohie, O et al. (2024). Spatiotemporal Assessment of Crop Stress and Phenotypic Variation: Combining on-Farm NDVI Measurements and Thermal Imaging with Remote Sensing Approaches. The Egyptian Journal of Remote Sensing and Space Science (in preparation).

78. Akinseye et al. (2024) Soil and Crop Management Options for Sustainable Intensification of Sorghum-based Cropping Systems in the Sudan Savanna Ecology of West Africa (NZJA-2023-0257), New Zealand Journal of Agricultural Research (under review).

79. Krishna, G., Biradar, C. M., Singh, R., Govind, A., Sarker, A., & Agrawal, S. K. (2024). Spatial mapping of Rice crop using time series geospatial big data and machine learning algorithms. Agricultural Research. Manuscript submitted for publication.

80. Devkota, M; Devkota, K; Omar, M.E; Attaher, S; Govind, A and Nangia, V (2024). Region-Specific Strategies for Closing Wheat Yield and Profit Gaps with Reduced Environmental Footprints in Irrigated Drylands, Egypt. Journal of Environmental Management. (under review) JEMA-D-24-25579.

81. A Hybrid Stacked Ensemble Machine Learning Framework to Predict Rice Straw Yield in Eastern India Amidst Changing Climate Conditions (Under Review)

82. Enhanced Soil Salinity Index Prediction Using Hybrid Stacking Ensemble Machine Learning with Explainable Artificial Intelligence (XAI) Technique: A Case Study of the Nile Delta, Egypt (Under review)

83. Leveraging of Optimizing Wheat Yield Gaps with Hybrid Stacked Ensemble Machine Learning Models in the Nile River Basin of Egypt (Under Review)

84. Bridging the Wheat Yield Gap in Morocco: A Machine Learning Stacking Ensemble Approach for Climate-Resilient Agriculture Under SSP Scenarios (Under Review)

85. Climate-Resilient Agriculture: Strategic Approaches to Mitigating Climate Change Impact in Morocco (Under Review)

86. Feasibility Analysis of Groundwater Quality for Irrigation Purpose Considering Piyali River sub-basin, West Bengal, India: as a Case Study (Under Review)

87. Revolutionizing Wheat Crop Disease Prediction: A Novel Framework on Integrating Nature-Inspired Random Forest Optimization and Explainable Artificial Intelligence (XAI) in Morocco (Under Preparation)

88. Sustainable Water Management in Agriculture: Physics-Based ML Prediction of Irrigation in Morocco (Under Preparation)

89. Drought Conditions in India: Triggers, Repercussions & Sustainable Solutions (Under Preparation):A field based data driven modeling approach for livelihood vulnerability examination of rice farmers considering climate risk in eastern India (under Review)