scholarly journals Predictive Modular Neural Networks Methods for Prediction of Sugar Beet Crop Yield

1998 ◽  
Vol 31 (12) ◽  
pp. 41-45 ◽  
Author(s):  
Ath. Kehagias ◽  
H. Panagiotou ◽  
N. Maslaris ◽  
V. Petridis ◽  
L. Petrou ◽  
...  
2018 ◽  
Vol 11 (15) ◽  
Author(s):  
Imene Dridi ◽  
Ahlem Tlili ◽  
Salma Fatnassi ◽  
Hédi Hamrouni ◽  
Moncef Gueddari

2019 ◽  
Vol 56 (3 & 4) ◽  
pp. 79-110
Author(s):  
Erik Wenninger ◽  
Jeffrey Lojewski ◽  
Jessica Vogt ◽  
Don Morishita ◽  
Oliver Neher ◽  
...  

Author(s):  
Abdelkrim Bouasria ◽  
Abdelmejid Rahimi ◽  
Ikram El Mjiri ◽  
Khalid Ibno Namr ◽  
El Mostafa Ettachfini ◽  
...  

2018 ◽  
Vol 28 (4) ◽  
pp. 1281-1284
Author(s):  
Petar Petrov ◽  
Bojan Mitrovski

Due to the great economic significance of the sugar beet, the new production trends are aimed at improving the quantitative and qualitative properties and one of the basic agro technical measures that is directly dependent on the yield and quality of the turnip is the properly conducted plant nutrition. Exporting high quantities of nutrients from the soil, the sugar beet requires application of advanced agro-technology, primarily application of adequate and controlled nutrition and irrigation. Application of this measure, in combination with soil processing, has sustained influence over the following cultures in the crop rotation in terms of nutrients regiment and fight against weeds.In order to determine the effects of mineral fertilizers on sugar beet, field experiment was conducted on fluvisol soil. The experiment is set according to a random block system, following the standard methods of agricultural chemistry for conducting field trials. The experiment includes eight variants, as follows: 1. Control (non-fertilized), 2. NP, 3. NK, 4. PK, 5. NPK, 6. N2PK, 7. N2P2K, 8. N3PK.In the phase of technological maturity of sugar beet, collection of the vegetative material and measurement of the height of the biological yield of the turnips was carried out. Based on the survey results, it can be concluded that the variant N2P2K has achieved the highest yield of swollen roots, i.e. 69.330 kg/ha. The highest yield of leafy greens was achieved in the variant N3PK, i.e. 41.920 kg/ha, which indicates the fact that nitrogen has direct influence over the vegetation mass of sugar beet.


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