Cultivation System Research Articles

Mechanical Harvesting of Marginal Land and Agroforestry Field: New Insights from Safflower for Bio-Product Production

Considering the increase in market requests for bio-products, it is necessary to study the possibility of cultivating industrial crops in areas still untapped to extend the total cultivation surface, reducing land competition with food crops. With this aim in mind, we studied the harvesting performance and cost, and seed losses of Safflower (Carthamus tinctorius L.) cultivation during two growing seasons and in three different locations: (A) an agroforestry field, (B) a marginal field and (C) a dedicated field utilized as a control. The overall efficiency of the cultivation system was higher in location C in respect to the other two fields. The yield was 12–22% and 21–26% higher in location C compared to locations B and A, respectively, while seed losses were 40–33% and 28–50% lower in C compared to locations A and B, as well as the total harvesting costs, which were 45% and 31–35% lower in location C compared to locations A and B, respectively. Despite this, the results highlighted how the reduction in cultivation efficiency given by limiting factors was lower compared to that of other crops, highlighting the possibility of cultivating Safflower for bio-products’ production on alternative lands.

Management of experimental workflows in robotic cultivation platforms

In the last decades, robotic cultivation facilities combined with automated execution of workflows have drastically increased the speed of research in biotechnology. In this work, we present the design and deployment of a digital infrastructure for robotic cultivation platforms. We implement a workflow management system, using Directed Acyclic Graphs, based on the open-source platform Apache Airflow to increase traceability and the automated execution of experiments. We demonstrate the integration and automation of experimental workflows in a laboratory environment with a heterogeneous device landscape including liquid handling stations, parallel cultivation systems, and mobile robots. The feasibility of our approach is assessed in parallel E. coli fed-batch cultivations with glucose oscillations in which different elastin-like proteins are produced. We show that the use of workflow management systems in robotic cultivation platforms increases automation, robustness and traceability of experimental data.

Cultivation systems for winter wheat (Triticum aestivum L.) and soil susceptibility to erosion

Cultivation systems for winter wheat (Triticum aestivum L.) and soil susceptibility to erosion

The Effects of Pond Type and Water Quality Dynamics on Vannamei Shrimp Growth: A Dummy Regression Analysis

Vannamei shrimp is one of Indonesia's leading aquaculture sector commodities due to its high survival rate, short cultivation time, and disease resistance. Vannamei shrimp cultivation in Indonesia adopts an intensive system favoured for high productivity. In intensive cultivation systems, shrimp ponds typically utilize concrete or high-density polyethylene (HDPE) ponds. Each type has its own positive and negative side that affects the growth and production of Vannamei shrimp. Apart from the type of pond, water quality also played an important role in the growth of Vannamei shrimp. Water quality is one of the important factors in intensive shrimp cultivation. Pond type is categorical data and has a nominal measurement scale, while water quality is numerical data with a ratio measurement scale; ordinary regression analysis is unsuitable for analyzing the effect of pond type and water quality on the growth of Vannamei shrimp. Therefore, a dummy regression model accommodates these measurement scale differences. This research aims to determine the effect of different types of ponds and water quality dynamics on the growth of Vannamei shrimp and to select the best type of pond for intensive cultivation of Vannamei shrimp. Additionally, it aims to identify the water quality parameters that most influence the growth of Vannamei shrimp so that it can serve as a reference for Vannamei shrimp farmers to achieve high productivity efficiently. The study was conducted from November 2022 to January 2023 in Banyuwangi Regency, East Java Province, Indonesia. There are three concrete ponds and 10 HDPE ponds. The research method employed in this study is a survey method utilizing simple random sampling. The parameters in this research are the quality of cultivation water, including pH, temperature and dissolved oxygen (DO). The water samples taken are then measured for water quality in the laboratory. The results of this study indicate that the average values for water quality are still within the optimal range. The average ABW in HDPE and concrete ponds ranges from 2.30 to 9.39 grams per shrimp and 2.22-9.73 grams per shrimp. Based on the study's results, it can be concluded that different pond types and water quality dynamics, specifically pH and temperature, affect shrimp growth based on ABW. However, when considering SGR values, the type of pond does not have a significant impact. The water quality parameters that affect SGR are pH and temperature.

A Talent Cultivation System in the Field of Artificial Intelligence in Universities Based on School Enterprise Cooperation

This paper draws objective conclusions from field research, establishes a talent cultivation and technological innovation system in the field of artificial intelligence, analyzes the phenomena and problems that arise in school enterprise cooperation, explores their underlying reasons, and explores how to establish a talent cultivation mechanism for school enterprise cooperation in the field of artificial intelligence, establishes a basic model for artificial intelligence talent cultivation, establishes standards, human resources support, improves guarantee systems, reforms in teaching and learning, and integrates disciplines.

Internet of things (IoT) based saffron cultivation system in greenhouse

Saffron is the world's most expensive and legendary crop that is widely used in cuisine, drugs, and cosmetics. Therefore, the demand for saffron is increasing globally day by day. Despite its massive demand the cultivation of saffron has dramatically decreased and grown in only a few countries. Saffron is an environment-sensitive crop that is affected by various factors including rapid change in climate, light intensity, pH level, soil moisture, salinity level, and inappropriate cultivation techniques. It is not possible to control many of these environmental factors in traditional farming. Although, many innovative technologies like Artificial Intelligence and Internet of Things (IoT) have been used to enhance the growth of saffron still, there is a dire need for a system that can overcome primary issues related to saffron growth. In this research, we have proposed an IoT-based system for the greenhouse to control the numerous agronomical variables such as corm size, temperature, humidity, pH level, soil moisture, salinity, and water availability. The proposed architecture monitors and controls environmental factors automatically and sends real-time data from the greenhouse to the microcontroller. The sensed values of various agronomical variables are compared with threshold values and saved at cloud for sending to the farm owner for efficient management. The experiment results reveal that the proposed system is capable to maximize saffron production in the greenhouse by controlling environmental factors as per crop needs.

Alfalfa Increases the Soil N Utilization Efficiency in Degraded Black Soil Farmland and Alleviates Nutrient Limitations in Soil Microbes

Alfalfa (Medicago sativa L.) can fix N naturally within soils, which makes alfalfa cultivation useful for enhancing soil fertility while minimizing environmental impacts from pesticides, fertilizers, and soil pollution. To assess the influence of alfalfa cropping on degraded black soil, we determined the nutrient stoichiometry of the soil and soil microbial biomass under four corn cultivation systems at the Harbin Corn Demonstration Base (Heilongjiang, China), which is located in Wujia (126°23′ E, 45°31′ N), Shuangcheng district, Harbin, Heilongjiang Province. The cultivation systems included continuous corn cultivation for more than 30 years (CK), 2 years of alfalfa–corn rotation (AC), three years of alfalfa cropping (TA), and four years of alfalfa cropping (FA). Overall, AC, TA, and FA treatment increased the soil pH, reduced the soil salinity, and increased the organic matter content of the 0–15 cm soil layer. TA and FA presented soil nutrient levels comparable to those of degraded cornfields that were fertilized annually. The TA and FA treatments increased the soil available N:P, soil N:P, and soil C:P ratios. Moreover, TA significantly increased the soil microbial biomass P (SMBP) in the 0–15 cm (surface) soil layer and reduced the soil microbial biomass C (SMBC):SMBP ratio. AC, TA, and FA increased the storage and mineralization rates of soil N and alleviated the microbial P limitations in degraded black soil farmland. Compared with FA, TA resulted in greater improvements in the quality of degraded black soil farmland. The ability of alfalfa to enhance soil fertility makes an important component of sustainable agricultural practices aimed at rehabilitating degraded soils.

Determination of harvesting time and quality of kesum (Persicaria minor) in different cultivation systems

Determination of harvesting time and quality of kesum (Persicaria minor) in different cultivation systems

Application of computational fluid dynamics in optimizing microalgal photobioreactors

Developing more efficient microalgal photobioreactors (closed cultivation systems) is impelled by increasing interest in microalgal cultivation to produce high-value products. Compared to open cultivation systems closed photobioreactors (PBRs) offer several advantages, including the potential for high productivity in a small footprint, ability to maintain a controlled environment, and their scalability for commercial production. Computational Fluid Dynamics (CFD) provides a powerful tool to simulate flow conditions of microalgal cultivation systems and analyze operational parameters which may affect cultivation key factors such as light (wavelength, intensity, and period of exposure), accessibility to nutrients, and mixing. Besides, geometric modifications employing CFD can accelerate the design process and considerably reduce the need for a thorough, empirical exploration of reactor configurations and the associated costs. This paper provides a comprehensive review of recent updates on the application of CFD in various microalgal cultivation systems with special focus on different geometry optimization of flat plate photobioreactors.This review examines recent studies that have employed various multiphase and turbulence methods within the CFD framework to simulate fluid flow and turbulence within reactors, aiming to improve flow characteristics and enhance microalgal productivity. Specifically, the application of CFD in optimizing flat plate photobioreactors is explored, with researchers investigating a range of baffles and sparger configurations to enhance microalgal productivity. Additionally, the advantages of adopting CFD are discussed, and the potential future applications of CFD in microalgal cultivation are outlined.

Research on Practice Teaching Mode of Electrical Engineering based on Innovative Talent Cultivation

With the rapid development of science and technology, the electrical engineering field has an increasingly urgent need for high-quality talents with innovative spirit. In order to comply with this trend, it is particularly important to build a practical teaching mode of electrical engineering with innovative talent cultivation as the core. The purpose of this paper is to discuss the strategies of improving the innovation ability and practical ability of electrical engineering students by clarifying the teaching objectives, strengthening the combination of theory and practice, innovating the teaching mode, constructing advanced experimental and practical training platforms, deepening the cooperation between schools and enterprises, perfecting the ability assessment and feedback mechanism, constructing a diversified cultivation system, and establishing an effective incentive mechanism.

N-Acetylcysteine Mitigates Oxidative Stress Induced by Transplanting Lettuce Seedlings into a DFT Hydroponic System

Oxidative stress results from an imbalance between the production and accumulation of reactive oxygen species (ROS), which can impede plant growth under various environmental stresses. While waterlogging is a well-known inducer of oxidative stress, the effects of oxidative stress on plant roots grown using the deep flow technique (DFT) hydroponic system remain poorly understood. In this study, we demonstrate that N-acetylcysteine (NAC) enhances the growth of lettuce seedlings transplanted into a DFT system. NAC application significantly improved both shoot and root growth, with the most pronounced effects observed at a concentration of 0.3 mM. Moreover, NAC mitigated the accumulation of hydrogen peroxide in roots following transplantation. It also reduced a temporary increase in lipid peroxidation and total phenolic content in both roots and shoots. These results suggest that NAC functions as an antioxidant, alleviating oxidative stress by scavenging hydrogen peroxide in the roots. Importantly, NAC’s protective effects may extend to other hydroponically grown crops, offering broader potential for reducing oxidative stress across various cultivation systems.

Taxonomic and functional diversity of foliage‐dwelling ants in conventional and organic agroecosystems in southern Brazil: A landscape perspective

Abstract In modern landscapes, understanding how land use and land cover, specifically agriculture, affect biodiversity and ecological functions is essential for conservation. According to Brazilian law, agroecosystems must include areas designated for biodiversity conservation called Legal Reserves. We evaluated the taxonomic and functional diversity of foliage‐dwelling ants in Legal Reserves of agroecosystems in the south of Rio Grande do Sul, Brazil. We aimed to understand how land use and land cover at different landscape scales affect the ant fauna. We sampled ant communities in organic and conventional agroecosystems using passive and active sampling methods (arboreal pitfall traps and active sample, respectively). For the analysis of functional diversity, we measured morphological attributes related to the ecological strategies of ants, such as perception of visual cues, foraging and resource acquisition. We characterized the landscape by visual interpretation of high‐resolution satellite imagery within a 100 m, 500 m and 1 km radius of the sampling areas. We did not identify any effects of cultivation systems on ant fauna. However, we found that landscape characteristics, such as the proportion of natural forest within 100 m, positively affected functional richness. Additionally, within 500 m, natural forest coverage, along with the proportion of cultivation, positively influenced ant incidence. We emphasize the function of Legal Reserves around farms, of serving as support to maintain the presence of ants and the diversity of ecological functions performed by these organisms. We also emphasize that new studies in the region should investigate how a higher homogenization of cultures and cultivation systems, including other phyto‐physiognomies, influence the myrmecofauna of these environments.

IMPLEMENTASI SISTEM MONITORING AIR DENGANSENSOR ULTRASONIK HC-SR04 DAN WATER FLOW DI ASONE HIDROPONIK BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN ENERGI PANEL SURYA(PLTS)

The cultivation system using hydroponics is now widely popular among the community because it does not require large areas of land. Using the hydroponic system results in faster and optimal harvests. However, the busy activities of urban communities often cause them to fail in implementing it due to constraints in controlling and monitoring hydroponic plants. Additionally, PLN electricity is essential for operating the water pump, and the electricity load and tariff increases, along with sudden blackouts, significantly impact business actors. To address this problem, this research creates an Internet of Things (IoT)-based water monitoring system for ACONE Hydroponics partners with solar panel (PLTS) energy sources as an alternative energy in the event of a sudden PLN power outage. The sensors used in this system include the HCR-04 ultrasonic sensor to monitor water availability and the water flow sensor to measure water flow (discharge). Sensor data is processed by the ESP32 microcontroller and sent to the Blynk cloud platform via an internet connection and displayed on an LCD. System testing shows that the system can send sensor data to the cloud platform stably and in real-time. Data visualization on the cloud platform is easy to understand and helps hydroponic owners monitor water conditions in hydroponic systems. This water monitoring system can help users optimize water use in hydroponic systems.

Optimizing cultivation system and pest management in different types of rice varieties

Optimizing cultivation system and pest management in different types of rice varieties

Tailor-made green composts with suppressive properties against tracheofusariosis of wild rocket (Diplotaxis tenuifolia): Useful option for sustainable circular horticulture

Intensive cultivation systems of wild rocket (Diplotaxis tenuifolia) are threatened by the outbreak of tracheofusariosis caused by the soil-borne fungal pathogen Fusarium oxysporum f. sp. raphani. The disease is difficult to eradicate by curative methods due to the endophytic progression of the pathogen. Suppressive composts can help to prevent this adversity by providing organic matter carrying chemical and biological components that can directly and/or indirectly interfere with the plant-pathogen system. In this study, a collection of seven promising composts from different selected green feedstocks were investigated for their suppressive properties towards wild rocket Fusarium wilting. In planta assays identified two composts, obtained from olive tree pruning + plant and tomato residues, and from olive waste + straw + wool residues, with the highest levels of suppressiveness, influenced by both application dose and plant development stage. These active composts showed overlapping 13C NMR profiles as in vivo suppressiveness, being positively correlated with the organic aliphatic alkyl, O-Aryl and carboxyl C fractions and subsequently with the hydrophobic index and alkyl ratio, and negatively with the lignin ratio. On the contrary, although biotic compost components showed antifungal effects, biological properties did not correlate with in planta wilting suppression. Consistently, reflectance spectroscopy in the Vis-NIR-SWIR highlighted the clustering of samples depending on their feedstock and chemical composition. The results allow the hypothesis of a plant-mediated suppression mechanism. The composting of crop residues improves the circularity of horticulture and makes it possible to produce, from selected matrices, tailored compost towards the sustainable cultivation of wild rocket.

The microbiome of bioreactors containing mass-cultivated marine diatoms for industrial carbon capture and utilization

Marine microalgae are a promising innovation platform for carbon capture and utilization (CCU) biotechnologies to mitigate industrial greenhouse gas emissions. However, industrial-scale cultivation of algal mono-cultures is challenging and often unscalable. Non-axenic microalgae in large semi-open photobioreactors lead to the co-cultivation of diverse microbial communities. There is limited knowledge about the “bioreactor ecology” involving microalgae interacting with the microbiome and its subsequent impact on process stability and productivity. In this study, we describe the semi-continuous industrial mass cultivation of the cold-adapted marine diatom, Porosira glacialis UiT201, by investigating the prokaryotic and microeukaryotic (phytoplankton and heterotrophic protist) communities. Data were collected in two consecutive time series experiments, representing the initiation and operation of an industrial-scale CCU photobioreactor (300,000 L). The first experiment experienced a culture “crash” of the focal strain after 39 days, while the second culture remained stable and “healthy” for 60 days. The results highlight that this mass cultivation system represents a unique industrial marine microbial ecosystem. The succession of the prokaryotic community was primarily driven by species replacement, indicating turnover due to selective bioreactor conditions and/or biological interactions. Nonetheless, the bioreactor consistently harbors a recurring and abundant core microbiome, suggesting that the closely associated bacterial community is influenced by microalgae-specific properties and can endure a dynamic and variable environment. The observed culture collapse of P. glacialis coincided with changes in the core microbiome structure and different environmental growth conditions compared to the stable and “healthy” experiment. These findings imply that cohabiting microbial taxa within industrial microalgae cultivation likely play a critical role in stabilizing the conversion of industrial CO2 into marine biomass, and changes in community structure serve as an indicator of process stability.

ThymoSpheres culture: A model to study human polyclonal unconventional T cells.

In vitro cultures remain crucial for studying the fundamental mechanisms of human T-cell development. Here, we introduce a novel in vitro cultivation system based on ThymoSpheres (TS): dense spheroids consisting of DLL4-expressing stromal cells and human hematopoietic precursor cells, in the absence of thymic epithelial cells. These spheroids are subsequently cultured at the air-liquid interphase. TS generate large numbers of mature T cells, are easy to manipulate, scalable, and can be repeatably sampled to monitor T-cell differentiation. The mature T cells generated from primary human hematopoietic precursor cells were extensively characterized using single-cell RNA and combined T-cell receptor (TCR) sequencing. These predominantly CD8α T cells exhibit transcriptional and TCR CDR3 characteristics similar to the recently described human polyclonal αβ unconventional T cell (UTC) lineage. This includes the expression of hallmark genes associated with agonist selection, such as IKZF2 (Helios), and the expression of various natural killer receptors. The TCR repertoire of these UTCs is polyclonal and enriched for CDR3-associated autoreactive features and early rearrangements of the TCR-α chain. In conclusion, TS cultures offer an intriguing platform to study the development of this human polyclonal UTC lineage and its inducing selection mechanisms.

Effects of Micronutrients on the Growth and Phytochemical Composition of Basil (Ocimum basilicum L.) in the Field and Greenhouse (Hydroponics and Soil Culture).

The current research was conducted to compare the growth, yield, and phytochemical composition of basil (Ocimum basilicum) in the open field and the soil and hydroponic cultivation in a greenhouse. Furthermore, the effect of foliar spraying of micronutrients on this crop was also evaluated. In each of the cultivation systems, foliar spraying of one micronutrient, either iron sulfate (Fe), zinc sulfate (Zn), copper sulfate (Cu), manganese sulfate (Mn), or boric acid (B), at a concentration of 0.1% was applied in a randomized complete block design. Plants grown in the hydroponic system had higher yield and biomass. The concentration of the elements K, Ca, Mg, N, P, Mn, Fe, B, and Zn in the leaves of hydroponic plants was higher. Contrarily, plants cultivated in the field showed higher stem dry weight, essential oil content, phenolic and flavonoid content, and antioxidant activity. The level of methyl chavicol was higher in the hydroponic culture, but the level of 1,8-cineole was much lower in this cropping system. Foliar spraying of Cu, Mn, Zn, Fe, or B significantly increased leaf dry weight and anthocyanin content. In field conditions, the highest levels of phenolics, flavonoids, and antioxidant capacity were observed with Zn or Mn application. In the hydroponic system, foliar spraying of Zn or B led to the highest antioxidant capacity, and total phenolic and flavonoid contents. Overall, the basil plants cultivated in the field showed higher bioactive ingredients. However, the essential oil of plants cultivated in the hydroponic system had a higher economic value due to its higher percentage of methyl chavicol.

Parental Effect on Agronomic and Olive Oil Traits in Olive Progenies from Reciprocal Crosses.

Olive growing is undergoing a transition from traditional cultivation systems to a more technological model characterized by increased mechanization and a higher density of plants per hectare. This shift implies the use of less vigorous varieties that can adapt to the new system. Most traditional varieties are highly vigorous, and breeding programs can provide solutions to this challenge. This study investigates the parental effect on different agronomic and olive oil characteristics and its role in breeding programs. The objectives were to evaluate and characterize different agronomic and olive oil traits in the progenies from 'Arbosana' × 'Sikitita' cross and its reciprocal cross 'Sikitita' × 'Arbosana'. The results showed a high variability of the characters evaluated in the progenitors of the reciprocal crosses. The highest coefficients of variation were observed in traits related to ripening index, phenolic compounds, polyunsaturated fatty acids, and Δ5-avenasterol, with phenolic content exhibiting the greatest variability. No statistically significant maternal effect was detected for any of the evaluated traits, although a slight positive maternal effect was systematically observed in the mean values of the evaluated traits. These results suggest that the maternal effect on olive is quite subtle, although due to a slight tendency of the maternal effect in the descriptive analyses, future studies are suggested to understand in depth the possible maternal effect on olive breeding.

Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management

Since the world's population is rising continuously, more cultivable land is being utilized for their dwellings. As a result, the amount of food supply is decreasing day by day. In order to address the food shortage, a proper plan and technological breakthroughs is must. Tomato is a kind of vegetable which has the healthy ingredients and essential for our daily food list. The proposed system suggests an IoT based tomato cultivation and pest management system, with the help of deep learning methods. In the IoT implementation, camera module and moisture sensor are used to collect images of tomato plant, soil condition respectively. Based on the moisture content, the water pump will supply the water when it necessary. Besides, the real-time images of tomato leaf will be sent to the server to identify and classify natural enemies like various insect species. In the proposed system seven types of pests are identified with the help of ten deep learning models like InceptionV3, Xception, InceptionResNetV2, MobileNet, MobileNetV2, MobileNetV3Large, MobileNetV3Small, DenseNet121, DenseNet169, DenseNet201. This study has trained with leaves and insects separately to identify whether an image from a tomato plant is insectoid or not. 458 images of pests and 912 images of leaves are utilized in the proposed architecture. The accuracy of classifying insects or leaves using DenseNet201 is 100 ​%. The highest accuracy of 94 ​% is obtained to classify the different insects using the DenseNet201 model.