- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
THE EFFECTS OF CONTINUOUS LIGHTING (CL) METHOD ON THE GROWTH DEVELOPMENT OF BRASSICA CHINENSIS FOR LED PLANT FACTORY IN WSN APPLICATION
摘要： This study was performed to investigate the best practise on using LED light for optimum growth of Brassica Chinensis and reduce turn around time at different kind of photoperiod study utilizing Wireless Sensor Network (WSN) technology as remote monitoring system. Growth performance of Brassica Chinensis under two different wavelengths (blue and red) 16:4 as light source has been used to determine plant growth performance and phytochemicals aspect of plant characteristics. Two experiments were conducted which is the pulse treatment (1 hour light and 1 hour dark) and continuous light (CL) photoperiod treatment in both trials. Observation such as leaves count, height, dry weight and chlorophy I & ll of both plants were analysed. It was noted that the CL photoperiod has significant effect on overall growth performance and remarkably lead to improve the efficiency of the plant factory. In order to reason on data and monitor the environmental parameters of the plant factory, an intelligent system using embedded system has been developed to automate the LED control and manipulation. The result shows that the system is stable and has referential significantly in the area of plant factory or indoor farming system.
关键词： LED Light Spectrum,Intelligent Control Farming,Continuous Lighting,Sensor,Indoor Farming,Wireless Sensor Network,Plant Factory
更新于2025-09-23 15:21:01
-
Photovoltaic Agricultural Internet of Things Towards Realizing the Next Generation of Smart Farming
摘要： Serious challenges for to drive agricultural sustainability combined with climate crisis issues have induced an urgent need to decarbonise agriculture. In this paper, we brie?y introduce a novel concept of the Photovoltaic Agricultural Internet of Things (PAIoT). This system approach fuses agricultural production with renewable power generation and control via an IoT platform. We discuss PAIoT applications and potential to realize the next generation of smart farming. In addition, we provide a review of key issues on the feasibility of PAIoT and further propose novel techniques to mitigate these key issues.
关键词： Internet of Things,Photovoltaic Agriculture,smart farming
更新于2025-09-23 15:19:57
-
Performance Evaluation of Unconcentrated Photovoltaic-Thermoelectric Generator Hybrid System under Tropical Climate
摘要： Indoor farming is among the approaches which can be adapted to improve agricultural sustainability and ensure the food security of countries. However, adopting indoor farming requires a high amount of energy to sustain the system. Incorporating a renewable energy system for supplying power to agricultural activities will allow the system to be more sustainable in the long run. An unconcentrated photovoltaic-thermoelectric generator (PV-TEG) hybrid system is designed based on the load requirement of an indoor farm. The hybrid system performance under Malaysia’s weather conditions was investigated and analyzed over three months. The designed system has shown its ability to provide sufficient power to the load, as well as supporting an additional load. Besides that, the TEGs power output was found to be dependent on the temperature as well as the types of connections used, where a higher temperature difference and series connection exhibited a better power output. Overall, the combination of the system showed that the addition of a TEG affects the efficiency and power output as compared to a standalone PV. Therefore, this implies that the hybrid system is able to exhibit a more positive outcome in certain weather conditions than a PV standalone system.
关键词： photovoltaic,sustainable agriculture,PV-TEG,indoor farming,thermoelectric generator
更新于2025-09-23 15:19:57
-
Effects of LED lighting recipes on postharvest quality of leafy vegetables grown in a vertical farm
摘要： Vertical farming is a technology that controls climate, water, nutrients and light to grow food in a closed environment. This allows vegetables to grow pesticide free and without other contaminants. We investigated how to influence the postharvest quality by controlling the preharvest growth conditions while keeping a high production rate. Several standard LED lighting recipes (red/blue or red/white either with or without far red) are in use in commercial farms. For this research we used lettuce, baby leaf spinach, rocket and basil from various cultivars all grown in a vertical farm research facility. We used the standard red white LED light recipe as control, while we changed the spectrum with higher blue and/or higher far-red or apply few days of continuous light stimulation just before the harvest (preharvest). Quality at harvest and quality loss during postharvest storage was monitored. We observed that light quality affects shelf life of baby leaf spinach and rocket by several days. The best light recipe for shelf life had a high blue content (35%) while the worst was with a high far red (25%). In addition, contents of vitamin C, K, nitrate, chlorophyll and flavonols were different under various light quality. Nitrate (in lettuce, rocket and spinach) and vitamin C in rocket were strongly affected by preharvest continuous light, offering a way to reduce the nitrate and improve the antioxidant level. In addition, taste was also found to change as a function of light quality but magnitude of this change is shown to be strongly cultivar dependent.
关键词： LED lighting,nitrate,vitamin K,shelf life,vertical farming,taste,vitamin C
更新于2025-09-16 10:30:52
-
Resource use efficiency of indoor lettuce (Lactuca sativa L.) cultivation as affected by red:blue ratio provided by LED lighting
摘要： LED lighting in indoor farming systems allows to modulate the spectrum to fit plant needs. Red (R) and blue (B) lights are often used, being highly active for photosynthesis. The effect of R and B spectral components on lettuce plant physiology and biochemistry and resource use efficiency were studied. Five red:blue (RB) ratios (0.5-1-2-3-4) supplied by LED and a fluorescent control (RB = 1) were tested in six experiments in controlled conditions (PPFD = 215 μmol m?2 s?1, daylength 16 h). LED lighting increased yield (1.6 folds) and energy use efficiency (2.8 folds) as compared with fluorescent lamps. Adoption of RB = 3 maximised yield (by 2 folds as compared with RB = 0.5), also increasing leaf chlorophyll and flavonoids concentrations and the uptake of nitrogen, phosphorus, potassium and magnesium. As the red portion of the spectrum increased, photosystem II quantum efficiency decreased but transpiration decreased more rapidly, resulting in increased water use efficiency up to RB = 3 (75 g fW L?1 H2O). The transpiration decrease was accompanied by lower stomatal conductance, which was associated to lower stomatal density, despite an increased stomatal size. Both energy and land surface use efficiency were highest at RB ≥ 3. We hereby suggest a RB ratio of 3 for sustainable indoor lettuce cultivation.
关键词： lettuce,red:blue ratio,LED lighting,resource use efficiency,indoor farming
更新于2025-09-16 10:30:52
-
Screening of microalgae and LED grow light spectra for effective removal of dissolved nutrients from cold-water recirculating aquaculture system (RAS) wastewater
摘要： Popularity of recirculating aquaculture systems (RAS) is increasing. Because of the high water recirculation rate, dissolved nutrients originating from fish feed are concentrated enough in RAS wastewater (WW) to enable growth of primary producers, e.g. microalgae. This study evaluated nitrate-nitrogen (NO3-N) and phosphate-phosphorus (PO4-P) removal efficiency of ten temperate zone freshwater microalgae species during their exponential growth phase in unfiltered RAS WW at 17 ± 0.5 °C. Growth and nutrient uptake efficiency of six green and four non-green microalgae strains were compared between WW and reference growth medium in batch monocultures. The effect of three different LED grow light spectra on growth and nutrient uptake efficiency were compared for four green microalgae in WW. The specific growth rate (SGR, 0.5-0.8 d-1) and removal of NO3-N (N%, 57–96%) and PO4-P (P%, 78–94%) of green microalgae in WW in 4 days were comparable to the results obtained in the reference medium (SGR, 0.6-0.9 d-1, N%, 59–99%; P%, 86–99%). In contrast, non-green microalgae had negligible growth (SGR, from -0.1 to 0.2 d-1) and poor nutrient removal (N%, 1–29%; P%, 0–34%) in both growth media after 9 days. The three LED spectra did not differ on their effect on growth and nutrient removal of three green microalgae in WW after 4 days, while the fourth tested species, Haematoccocus pluvialis, had its highest nutrient removal after 8 days under a specific LED spectrum. Current results show that RAS WW supports well green microalgae growth in batch cultures in temperatures common in Nordic RAS and that continuous spectrum LED grow lights can induce high removal of dissolved nutrients. Our findings lend support to the concept of using temperate zone microalgae for nutrient removal and recycling from RAS WW.
关键词： Wastewater treatment,Nitrate-nitrogen,Bioremediation,Nutrient uptake,Fish farming,Phosphate-phosphorus,Continuous light spectra,Coregonus lavaretus
更新于2025-09-12 10:27:22
-
Growth and glucosinolate profiles of a common Asian green leafy vegetable, Brassica rapa subsp. chinensis var. parachinensis (choy sum), under LED lighting
摘要： Technological advancements in light-emitting diode (LED) technology have led to the production, under controlled indoor conditions, of value-added crops that are high in nutritional or nutraceutical contents. In this study, the growth and glucosinolate (GSL) profiles of a common Asian vegetable, Brassica rapa subsp. chinensis var. parachinensis (choy sum or cai xin) were determined under LED lighting. The growth of choy sum was influenced by both the LED light intensity and spectrum, with plants grown under 160 μmol m?2 s?1 red-blue light (160RB) producing the highest shoot biomass (～100–300 % increment in adult plants). GSL content was found to vary across growth stages regardless of LED treatment. Total GSLs per gram fresh weight were four times higher in one-leafed seedlings than in adult plants. A shift from a high proportion of aliphatic GSLs in one-leafed seedlings to indolic and aromatic GSLs in three-leafed seedlings and adult plants was attributed to an increase in the proportion of glucobrassicin and/or 4-hydroxy-glucobrassicin, and gluconasturtiin which are known to have anti-cancer properties. Our results will be useful for the production of GSL-enhanced vegetables through urban farming.
关键词： Biomass,Glucosinolate,Brassica rapa var. parachinensis,Vegetable,LED,Urban farming
更新于2025-09-12 10:27:22
-
A light salad [LED lighting applications in horticulture]
摘要： With their low energy usage, reduced heat output and the ability to control the light colour they emit, LEDs are poised to revolutionise the horticulture industry. This article explores the benefits of LED technology in vertical farming, including faster growth cycles, reduced water usage, and the elimination of pesticides. It also discusses the potential for custom-designed produce through controlled light exposure and the current economic challenges facing the adoption of LED technology in horticulture.
关键词： energy efficiency,LED,vertical farming,horticulture,controlled environment agriculture
更新于2025-09-12 10:27:22
-
Economic Impact of Substituting Solar Photovoltaic Electric Production for Tobacco Farming
摘要： Solar photovoltaic (PV) technology represents a promising method to prevent dangerous global climate change, however full solar penetration demands substantial surface areas, possibly encroaching on arable land. To avoid repeating the mistakes of previous attempts to convert agricultural land to energy, arable land currently used for crops with known health hazards can be considered for conversion. Tobacco is the leading cause of avoidable death globally, and despite increasingly stringent controls on tobacco, economics provides an incentive to continue tobacco production. However, with the economics of PV ever improving, this study investigates the potential economic benefits of photovoltaic conversion of farms during tobacco's decline. This study analyzes key factors influencing conventional tobacco farming economics in the U.S. over a sensitivity of realistic future values. Then tobacco crop profit is compared to a sensitivity analysis covering the profits of solar PV farming on the same land. The results show that considering existing electric prices, escalation rates, and installed costs, PV farm substitution for tobacco farming makes economic sense in many U.S. cases already. In a case study of North Carolina, 30GW of PV power capacity was found to be economically viable on existing tobacco farms and if conversion took place over 2,000 premature deaths could be prevented from pollution reduction alone. This meets the State's peak summer loads. Land use policies are discussed to facilitate such land use conversions for the benefit of the economy, the environment and human health.
关键词： farming,solar photovoltaic,agriculture,tobacco,economic impact
更新于2025-09-11 14:15:04
-
Leaf Area Estimation of Reconstructed Maize Plants Using a Time-of-Flight Camera Based on Different Scan Directions
摘要： The leaf area is an important plant parameter for plant status and crop yield. In this paper, a low-cost time-of-flight camera, the Kinect v2, was mounted on a robotic platform to acquire 3-D data of maize plants in a greenhouse. The robotic platform drove through the maize rows and acquired 3-D images that were later registered and stitched. Three different maize row reconstruction approaches were compared: reconstruct a crop row by merging point clouds generated from both sides of the row in both directions, merging point clouds scanned just from one side, and merging point clouds scanned from opposite directions of the row. The resulted point cloud was subsampled and rasterized, the normals were computed and re-oriented with a Fast Marching algorithm. The Poisson surface reconstruction was applied to the point cloud, and new vertices and faces generated by the algorithm were removed. The results showed that the approach of aligning and merging four point clouds per row and two point clouds scanned from the same side generated very similar average mean absolute percentage error of 8.8% and 7.8%, respectively. The worst error resulted from the two point clouds scanned from both sides in opposite directions with 32.3%.
关键词： crop characterization,precision farming,3-D sensors,agricultural robotics,plant phenotyping
更新于2025-09-09 09:28:46