Industrial chili peppers are specialized varieties primarily used for the extraction of capsaicinoids and paprika red. Their post-harvest processing level directly affects product quality and industrial economic benefits. Most existing studies have focused on a single unit operation or on edible chili peppers, and a systematic review of the entire post-harvest processing chain for industrial chili peppers is still lacking. Taking the standardized post-harvest processing workflow of industrial chili peppers as its core theme, this paper systematically reviews the current research approaches and application status of industrial chili pepper post-harvest processing technologies across six core unit operations, namely cleaning and impurity removal, grading and sorting, drying, stem and seed removal, crushing and grinding, and extraction of bioactive compounds. The analysis indicates that the field currently faces four common challenges: the lack of standardized processing parameters for classified processing, relatively low drying energy efficiency, insufficient online sensing and intelligent collaborative control, and a scarcity of industrial-scale validation for emerging technologies. This paper further constructs a technical route and technology evaluation framework for the entire post-harvest processing chain of industrial chili peppers, clarifies the applicable boundaries and scale suitability of different processing technologies, and provides a theoretical basis for industrial technological upgrading and process selection.
Dong Lv, Chirui Zhang, Gan Liu et al.· Processes· 0 citations
Grapes intended for fresh consumption, winemaking, raisin production and processing differ markedly in quality requirements and tolerance to harvest damage, making a universally suitable mechanised harvesting pathway unlikely. This review synthesises low-damage grape harvesting from an end use-oriented sustainability perspective. A structured literature search and thematic narrative synthesis covered studies mainly published from January 2000 to May 2026, with 184 studies included. The evidence indicates that harvesting suitability is determined by the compatibility among end use, grape and bunch traits, vineyard architecture, damage tolerance, labour and operating constraints, and downstream requirements. Manual and assisted harvesting remain preferable where selective whole-bunch handling and marketability dominate; vibration-based bulk harvesting provides greater capacity for wine and processing grapes in compatible vineyards; dry-on-vine (DOV) collection is closely coupled with raisin-specific drying systems; and selective robotic harvesting remains promising but requires stronger commercial vineyard validation. Across these pathways, higher automation does not inherently provide greater sustainability because reductions in labour demand may be offset by quality loss, capital and energy requirements, or insufficient system utilisation. The principal contribution of this review is an end use-specific framework linking vineyard design, harvesting pathway, damage and loss mechanisms, and environmental, economic and social sustainability considerations. Because experimental conditions, damage definitions and reporting metrics remain heterogeneous, the available literature supports context-dependent qualitative comparison rather than a unified quantitative sustainability ranking.
Mulched drip irrigation is an important water-saving production system for soybean cultivation in arid and semi-arid regions. However, soybean materials harvested from this system exhibit specific physical characteristics, including relatively dry pods and seeds and high stem moisture content. This study characterized the physical and mechanical properties of soybean seeds at the harvest stage and established a discrete element method (DEM) parameter system for harvesting simulation. Key properties and contact behaviors were experimentally measured, and DEM parameters were calibrated and validated through physical tests and virtual simulations. The results showed that the calibrated parameters accurately reproduced the macroscopic stacking behavior of soybean seeds, with the angle of repose validation showing a relative error of only 0.545%. The proposed parameter system considers the geometric and mechanical characteristics of harvest-stage soybean seeds and improves the applicability of DEM simulations for harvesting process analysis. This study provides digital support for optimizing soybean harvesting machinery, reducing seed damage, and improving harvest quality in water-efficient production systems.
Agrivoltaic systems configure photovoltaic power generation and agricultural production within the same land space, providing a new pathway for alleviating the conflict between energy development and farmland conservation; however, array shading and structural constraints also alter crop growth and agricultural equipment operating environments. Following the PRISMA process, this review searched studies published from 2010 to 2026 in the Web of Science Core Collection, Scopus, and China National Knowledge Infrastructure, and ultimately included 206 publications. The review focuses on array-induced environmental reconfiguration, equipment adaptation, light–thermal sensing and prediction, and coordinated agrivoltaic operation. Existing evidence indicates that the environmental effects of agrivoltaic systems are clearly influenced by climate and array configuration; in representative vertical or tracking systems, annual-scale photosynthetically active radiation decreased by approximately 11% to 34%. Mismatch among module height, row spacing, and implement width reduces field-operation efficiency, which fell to approximately 45% under severe mismatch in some experiments; elevated arrays also cause GNSS signal attenuation and increase the difficulty of continuous positioning beneath the panels. Because existing studies differ considerably in site conditions, evaluation indicators, and validation periods, the above results mainly reflect representative performance ranges. Matching criteria between photovoltaic arrays and agricultural machinery have not yet been established, long-term field-measured data in complex field environments are insufficient, model adaptability across regions is limited, and coordinated scheduling of agricultural production and photovoltaic operation and maintenance remains inadequate. Overall, coordinated design of arrays and agricultural machinery, multi-sensor fusion navigation, environmental prediction corrected for array structure, and hierarchical scheduling under safety constraints are the main development directions for intelligent coordinated operation of agrivoltaic systems.
Yuyuan Qiao, Yuting Dong, Qi He et al.· Sustainability· 0 citations
Strawberry production is economically important but remains highly dependent on labour-intensive harvesting. The delicate texture, irregular distribution, and non-uniform maturity of strawberry fruit create substantial challenges for mechanised and robotic operations. This review examines the development of strawberry-harvesting technologies from the broader perspectives of crop value, cultivation management, harvesting methods, robotic systems, post-harvest handling, and sustainable production. The nutritional and economic significance of strawberries is first outlined, followed by an analysis of cultivation environments, production patterns, and crop-management practices that influence fruit accessibility and robotic operation. The historical transition from manual harvesting to mechanised and intelligent harvesting is then reviewed. Particular attention is given to the principal technologies of strawberry-harvesting robots, including mobile platforms, robotic manipulators, path planning and obstacle avoidance, end-effectors, visual recognition, multispectral sensing, and software control. Robotic systems designed for elevated and ridge-based cultivation are also compared to clarify the influence of cultivation layout on platform configuration and harvesting strategy. In addition, the integration of harvesting with fruit transfer, post-harvest handling, and sustainable cultivation is discussed. The reviewed studies indicate that effective robotic harvesting depends on the coordinated design of cultivation systems, perception, motion planning, compliant manipulation, and system control. Future research should prioritise robust perception under occlusion, low-damage harvesting, improved operational speed, scenario adaptability, cost reduction, and closer integration between agronomic practices and robotic design.
This review constructs an explicit conceptual framework integrating cross-scale defense mechanisms—mechanistically linking molecular signal transduction and post-transcriptional regulation to cellular homeostasis and field-scale yield stability—and spotlight the emerging integration of machine learning-assisted breeding and genomic prediction for the efficient evaluation of superior germplasms.
Gan Liu, Shaohua Li, Qi He et al.· Water· 0 citations
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