Artificial Intelligence in Crop Production: Successful Cases of Agricultural Enterprises
Odessa State Agrarіan Unіversіty +5 more
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Integrating socioeconomic determinants into preterm birth risk prediction: evidence from Northwest China. [PDF]
Wang X, Yuan Q, Yang Y.
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Precise Editing of chNHE1 Gene via CRISPR/Cas9 Generates ALV-J-Resistant Chicken Primordial Germ Cell. [PDF]
Zhou X +7 more
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Enhancing Yields and Extending Production Cycles of Bacteriocin from the Bacillus cereus Group Through the Optimization of Culture Conditions and Removal of Proteolytic Digestion. [PDF]
Gao M +7 more
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Optimizing regional innovation ecosystems through actor-environment coevolution: A dynamic configurational analysis from a CAS perspective. [PDF]
Pang H, Jiang Y, Wu L, Wang L.
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DIGITALIZATION IN AGRICULTURAL ENTERPRISES
Scientific Review Theory and Practice, 2021The article considers the production and technological efficiency in agricultural production, which is beginning to depend more and more on modern digital solutions. Digitalization of agriculture is a necessary condition for increasing its competitiveness.
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Assessment of agricultural enterprises competitiveness
Vestnik of Kazan State Agrarian University, 2013In Russia’s accession to the WTO the problem of improving the competitiveness of agricultural enterprises is one of the most important problems in the economy. The starting point of the solution to this problem is the assessment of the competitiveness of businesses. This article consists of an introduction, body and conclusion.
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Agricultural Enterprises in Hungary
2017Agriculture has traditionally been an important sector of the Hungarian economy. Hungary benefits from many natural features that provide favourable conditions for agriculture: fertile plains, an advantageous climate, availability of water. In Hungary, a mix of restitution, land selling for compensation bonds, and some small redistribution of land to ...
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