Every year, plant diseases cause a significant loss of valuable food crops around the world.
The plant and crop disease management practice implemented in order to mitigate …

针对现有小麦条锈病预测方法没有利用病害发生因素之间的语义信息, 存在预测难度大,
准确率低等问题, 利用知识图谱(Knowledge Graph, KG) 和双向长短时记忆网络(Bi-directional …

The climate change has caused threats to agricultural production; the extremes of
temperature and humidity, and other abiotic stresses are contributing factors to the etiology …

India is agricultural land. India ranks second worldwide in agriculture output, but GDP share
is declining. There are many factors contribute for declining agriculture GDP which are …

Precision agriculture (PA), also known as smart farming, has emerged as an innovative
solution to address contemporary challenges in agricultural sustainability. A particular sector …

Agriculture plays a significant role in the growth of human civilization. The fruits and
vegetables are an important ingredient in the regular diets of the human. They provide high …

Increasing use of machine-learning (ML) algorithms in plant disease forecasting is one-way
to reduce the global crop yield losses caused by plant pathogens. This study focuses on …

Governments face a dilemma between public health and the economy while making
strategic decisions on health during a pandemic outbreak. It is of great importance to …

Nowadays, with the huge advance of sensor technology and the increase of the amount of
data generated by them, techniques have to be developed to be able to process all this …

导致冬枣病虫害发生的原因很多而且很复杂, 利用传统的数学方法和神经网络(neural network,
NN) 很难建立正确的病虫害预测模型. 由于典型的深度置信网络(deep belief network, DBN) …