[1]

de Sousa T, Ribeiro M, Sabença C, Igrejas G. 2021. The 10, 000-year success story of wheat! Foods 10(9):2124

doi: 10.3390/foods10092124
[2]

FAO. 2023. FAOSTAT statistical database. Agricultural production data. www.fao.org/faostat/en/#data/QCL[Accessed: 2025-09-20]

[3]

Tadesse W, Sanchez-Garcia M, Assefa SG, Amri A, Bishaw Z, Ogbonnaya FC, Baum M. 2019. Genetic gains in wheat breeding and its role in feeding the world. Crop Breeding, Genetics and Genomics 1(1):e190005

doi: 10.20900/cbgg20190005
[4]

Zegeye F, Alamirew B, Tolossa D. 2020. Analysis of wheat yield gap and variability in Ethiopia. International Journal of Agricultural Economics 5(4):89−98

doi: 10.11648/j.ijae.20200504.11
[5]

Dwivedi SK, Kumar S, Natividad MA, Quintana MR, Chinnusamy V, et al. 2023. Disentangling the roles of plant water status and stem carbohydrate remobilization on rice harvest index under drought. Rice 16(1):14

doi: 10.1186/s12284-023-00631-6
[6]

Bilandžija D, Zgorelec Ž, Galić M, Grubor M, Krička T, et al. 2023. Comparing the grain yields and other properties of old and new wheat cultivars. Agronomy 13(8):2090

doi: 10.3390/agronomy13082090
[7]

Du S, Zhang Z, Song J, Liu M, Chen P, et al. 2024. Water-saving irrigation and N reduction increased the rice harvest index, enhanced yield and resource use efficiency in Northeast China. Agronomy 14(6):1324

doi: 10.3390/agronomy14061324
[8]

Wang X, Christensen S, Svensgaard J, Jensen SM, Liu F. 2020. The effects of cultivar, nitrogen supply and soil type on radiation use efficiency and harvest index in spring wheat. Agronomy 10(9):1391

doi: 10.3390/agronomy10091391
[9]

Ali Bhatti S, Kandhro MN, Chang MS, Sootaher JK, Ali Buriro K, et al. 2022. Effect of different sowing methods on the growth and yield of wheat (Triticum aestivum L.). RADS Journal of Biological Research and Applied Sciences 13(1):33−42

doi: 10.37962/jbas.v13i1.412
[10]

Kabaradin A, Tashome A, Tsagaye A, Wayessa D, Tafa W. 2025. Modification and performance evaluation of AAERC tractor drawn wheat seed drill. Mediterranean Journal of Basic and Applied Sciences (MJBAS) 9(1):35−54

doi: 10.46382/MJBAS.2025.9104
[11]

Unkovich M, Baldock J, Forbes M. 2010. Variability in harvest index of grain crops and potential significance for carbon accounting: examples from Australian agriculture. Advances in agronomy 105:173−219

doi: 10.1016/S0065-2113(10)05005-4
[12]

Kabaradin A. 2023. On-farm evaluation of tractor drawn wheat seed drill. International Journal of Precision Farming 1(1):16−24

doi: 10.54536/ijpf.v1i1.2175
[13]

Larsson C. 2024. Can precision seeding improve winter wheat establishment? Thesis. Swedish University of Agricultural Sciences, Uppsala, Sweden

[14]

Mahdi L, Bell CJ, Ryan J. 1998. Establishment and yield of wheat (Triticum turgidum L.) after early sowing at various depths in a semi-arid Mediterranean environment. Field Crops Research 58(3):187−196

doi: 10.1016/S0378-4290(98)00094-X
[15]

Tarafder R. 2015. Effect of sowing depth and row spacing on germination stand establishment and yield of wheat. Thesis. Sher-e-Bangla Agricultural University, Bangladesh

[16]

Kirby EJM. 1993. Effect of sowing depth on seedling emergence, growth and development in barley and wheat. Field Crops Research 35(2):101−111

doi: 10.1016/0378-4290(93)90143-B
[17]

Sułek A, Ogórkiewicz M. 2020. Impact of sowing depth and seed size on the dynamics of germination and productivity of spring wheat. Polish Journal of Agronomy ( 43):63−69

doi: 10.26114/pja.iung.421.2020.43.06
[18]

Gierz Ł, Al-Sammarraie MAJ, Özbek O, Markowski P. 2024. The use of image analysis to study the effect of moisture content on the physical properties of grains. Scientific Reports 14(1):11673

doi: 10.1038/s41598-024-60852-7
[19]

Al-Sammarraie MAJ, Gierz Ł, Jihad GH, Gokalp Z, Özbek O, et al. 2025. Classification of apple slices treated by atmospheric plasma jet for post-harvest processes using image processing and convolutional neural networks. Food and Bioprocess Technology 18(10): 8453−8467

doi: 10.1007/s11947-025-03904-8
[20]

Al-Sammarraie MAJ, Al-Aani F, Al-Mashhadany SA. 2023. Determine, predict and map soil pH level by fiber optic sensor. IOP Conference Series: Earth and Environmental Science 1225(1):012104

doi: 10.1088/1755-1315/1225/1/012104
[21]

Al-Mashhadany SA, Ali Hasan H, Al-Sammarraie MAJ. 2024. Using machine learning algorithms to predict the sweetness of bananas at different drying times. Journal of Ecological Engineering 25(6): 231−238

doi: 10.12911/22998993/187789
[22]

Li L, Wang B, Feng P, De Li Liu, He Q, et al. 2022. Developing machine learning models with multi-source environmental data to predict wheat yield in China. Computers and Electronics in Agriculture 194:106790

doi: 10.1016/j.compag.2022.106790
[23]

Jhajharia K, Mathur P. 2024. Machine learning based crop yield prediction model in Rajasthan Region of India. Iraqi Journal of Science 65(1):390−400

doi: 10.24996/ijs.2024.65.1.32
[24]

Thunjai T, Boyd CE, Dube K. 2001. Poind soil pH measurement. Journal of the World Aquaculture Society 32(2):141−152

doi: 10.1111/j.1749-7345.2001.tb01089.x
[25]

Al Shamisi MH, Ali H, Hejase HAN. 2011. Using MATLAB to develop artificial neural network models for predicting global solar radiation in Al ain city–UAE. In Engineering Education and Research Using MATLAB. IntechOpen. pp. 219−238 doi: 10.5772/25213

[26]

Al-Sammarraie MAJ, Gierz ŁA, Özbek O, Kırılmaz H. 2024. Power predicting for power take-off shaft of a disc maize silage harvester using machine learning. Advances in Science and Technology. Research Journal 18(5):188666

doi: 10.12913/22998624/188666
[27]

Sankhyan S, Singh G, Singh B, Kaur V, Singh B. 2025. Optimizing sowing depth and seed rate for enhanced growth and yield of chickpea (Cicer arietinum L. ): a review. Asian Journal of Advances in Agricultural Research 25(5):89−98

doi: 10.9734/ajaar/2025/v25i5619