Nutrients removal and biomass production from anaerobic digested effluent by microalgae: A review

This editorial highlights the importance of establishing the journal Digital Intelligence in Agriculture and the typical applications of digital intelligence technology in agriculture such as planting industry, forestry, animal husbandry, and fishery. Digital intelligence technology is driving global agriculture towards a new stage of smart agriculture characterized by "data-driven and intelligent decision-making". Its core is to achieve comprehensive empowerment of agricultural production, operation, management, and services through technologies such as the Internet of Things, big data, artificial intelligence, cloud computing, and blockchain. Smart technology aims to achieve multiple goals in agriculture, including cost reduction and efficiency improvement, quality improvement and income increase, resource conservation, and environmental sustainability. It is a key path to address future food security challenges and achieve agricultural modernization.

Efficient and comprehensive visual solution for a smart apple harvesting robot in complex settings via multi-class instance segmentation

Estimating the total number of active wheat harvesters using big data of GNSS trajectories in China

Nobel paradox: China’s publication surge and the elusive prize