The continuous rise in global atmospheric carbon dioxide has profoundly altered climate patterns and the spatiotemporal balance of hydrothermal conditions at regional scales. Understanding species’ responses to climatic factors is thus critical for biodiversity conservation. This study focuses on Pinus taiwanensis, analyzing changes in its suitable habitat using distribution data and environmental variables. Employing the biomod2 ensemble model, potential habitats were predicted under three climate scenarios (SSPs126, SSPs370, SSPs585) for the present, 2050, and 2090. Results show: (1) Model performance is excellent (AUC > 0.9, TSS > 0.8). (2) Temperature-related factors (isothermality, di... More >

Regular control of diseases and pests is crucial for maximizing cauliflower yield and quality. Spray application of chemical pesticides causes environmental pollution, pesticide residue accumulation, and is labor-intensive. To address these challenges, we developed an unmanned plant protection device integrating ozone sterilization, light traps, and Internet of Things (IoT) technologies. Installed in a greenhouse, the device included an ozone generator, high-speed fan, and insect traps. It was remotely controlled via a mobile app for real-time adjustments to ozone release, fan speed, trap lamp operation, environmental data collection, and system monitoring. Greenhouse experiments tested the... More >

Rice cultivation accounts for 65% of agricultural water consumption in China but suffers from low irrigation water use efficiency (WUE ≈ 0.80kg/m^3) and severe nitrogen and phosphorus loss, contributing up to 30% of agricultural non-point source pollution. To address these core issues, this study developed a multi-source collaborative sensing-based Intelligent Precision Paddy Irrigation Control System (IPICS). The system integrates satellite and UAV remote sensing with IoT technologies to construct a ``sky-space-ground'' three-dimensional monitoring system, couples the FAO-56 Penman-Monteith model with LSTM deep learning algorithms to establish a dynamic irrigation decision model, and inte... More >

Agriculture is both a major contributor to and a victim of climate change, accounting for approximately 22–25% of global greenhouse gas (GHG) emissions and facing heightened risks from extreme weather events. International climate frameworks, including the Paris Agreement, emphasize the urgent need for transformative changes in food systems to achieve net-zero emissions by mid-century. In this context, China has pledged to peak carbon emissions by 2030 and reach carbon neutrality by 2060, with agriculture playing a central role. This paper presents the Tsing-Agri Farm, an advanced controlled environment agriculture (CEA) system developed by Beijing TsingSky Technology Co., Ltd., affiliated... More >

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... More >