Plant factories, as agricultural production systems characterized by high yield, efficient resource utilization, and advanced mechanization, have attracted increasing global attention. Packaging finished vegetables is a critical pre-shipment operation in plant-factory production, and its automation and intelligent control remain urgent research needs. In vegetable-packaging line, an orientation-adjustment mechanism is required to correct the posture of packaged vegetables so that the boxing mechanism can place them neatly in turnover boxes. The operation of this mechanism depends on accurate identification of vegetable orientation. In this study, packaged vegetables produced in a plant facto... More >

The transition to a circular bioeconomy in agriculture demands precise, real-time optimization of organic waste valorization, with anaerobic digestion (AD) being a central process. However, the inherent non-linearity, time-varying dynamics, and complex microbial interactions in large-scale agricultural AD reactors pose significant challenges to traditional kinetic models and human operators. This study proposes a novel data-driven hybrid CNN-LSTM-attention model to predict and optimize biogas yield and carbon-nitrogen (C/N) ratios using high-frequency multi-sensor data. By integrating real-time sensor feeds of pH, volatile fatty acids (VFAs), total solids (TS), and historical biogas producti... More >

As a pivotal tropical fruit crop in China, the mango (Mangifera indica L.) industry plays a strategic role in advancing agricultural modernization and augmenting rural incomes. However, the traditional mango value chain faces bottlenecks such as resource inefficiency, information asymmetry, and weak market resilience. Driven by the rapid evolution of next-generation information technologies—specifically the Internet of Things (IoT), big data, artificial intelligence (AI), and blockchain—smart agricultural technologies are profoundly reshaping the production, processing, and marketing paradigms of the industry. This paper systematically investigates the application patterns and challenges... More >

Against the backdrop of global food-security concerns, climate change, farmland constraints, and accelerating urbanization, modern agriculture is shifting from a land-dependent model toward a new paradigm shaped by spatial reconfiguration, energy integration, advanced equipment, and digital intelligence. Food systems account for a large share of anthropogenic greenhouse-gas emissions, making low-carbon transformation a central issue. Projected global food demand and hunger risk highlight the need for both productivity and resilience. Emissions from long-distance transport also suggest that localized production near consumption centers deserves greater attention. Taking the TsingSky Guangzhou... More >

The intelligent transformation of agriculture places plant growth prediction as a critical component for ensuring food security, optimizing resource allocation, and enhancing sustainable productivity. Traditional methods reliant on empirical or simplified mechanistic models struggle with the nonlinearity, high dimensionality, and spatiotemporal heterogeneity inherent in agro-ecological systems. This study investigates the paradigm shift enabled by agricultural big data integrating multi-source, real-time streams from IoT sensors, satellites, UAVs, and farm management systems. We propose a ``Multi-source Data Assimilation and Hybrid Intelligence'' (MDA-HI) framework that synergistically coupl... More >