With the continuous development of Internet Things, artificial intelligence, big data technology, and intelligent agriculture have become hot topics in agricultural science technology research. Machine learning is one core its application has penetrated every aspect human social life. In modern management decision making, machine plays an important role crop classification, disease insect pest ...

Background: Achievement of food security has become one of the major challenges of most developing countries, including Zimbabwe. This study was designed to investigate the effect of agricultural commercialization on household food security. Methods: This study used cross-sectional data for the 2017/18 farming season collected from 165 smallholder farmer households in Zhombe north rural distric...

This paper proposes a novel graph based learning approach to classify agricultural datasets, in which both labeled and unlabelled data are applied to the classification procedure. In order to capture the complex distribution of data, we propose a similarity refinement approach to improve the robustness of traditional label propagation. Then the refined affinity matrix is applied to label propag...

Eukaryotic virus-bacteria interactions have recently become an emerging topic of study due to multiple significant examples related to human pathogens of clinical interest. However, such omnipresent and likely important interactions for viruses and bacteria relevant to the applied and agricultural sciences have not been reviewed or compiled. The fundamental basis of this review is that these in...

High N fertilizer and flooding irrigation applied to rice on anthropogenic-alluvial soil often result in N leaching and low recovery of applied fertilizer N from the rice fields in Ningxia irrigation region in the upper reaches of the Yellow River, which threatens ecological environment, food security, and sustainable agricultural development. This paper reported the regulating N application fo...