[目的/意义] 农业环境动态多变, 动植物生长影响因子众多且互作关系复杂, 如何将分散无序信息
理解生成生产知识或决策案例是世界性难题. 农业知识智能服务技术是应对农业数据低秩化 …

Significance Agricultural environment is dynamic and variable, with numerous factors
affecting the growth of animals and plants and complex interactions. There are numerous …

In the modern era, agriculture is necessary for human existence globally, and it is imperative
to work toward increasing agricultural yields. Yet, crop production may be affected due to the …

Plant diseases and pests significantly influence food production and the productivity and
economic profitability of agricultural crops. This has led to great interest in developing …

Label Smoothing (LS) is a widely-used training technique that adjusts hard labels towards a
softer distribution, which prevents model being over-confidence and enhances model …

The automatic detection and counting of wheat spike images are of great significance for
yield prediction and variety evaluation. Therefore, accurate and timely estimation of spike …

Deep learning has revolutionized numerous fields, notably image classification. However,
conventional methods in agricultural pest recognition struggle with the long-tail distribution …

Impurities, which affect the commercial value of green peppers significantly, are a crucial
index for evaluating the processing quality. Currently, impurities in green peppers are …

In order to detect the types and quantities of pests in rice fields quickly and accurately, a
lightweight target pest detection method SSD_RA based on SSD algorithm is proposed. In …

Modern farming techniques can now be implemented globally and at a reasonable cost. In
the annals of agriculture, this is a significant turning point moment. The widespread …