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2022 Innovative Approaches in Agriculture in Adapting to Climate Change

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On behalf of Nong Lam University – Ho Chi Minh City (NLU), I would like to welcome you to the 4th International Conference on Sustainable Agriculture and Environment (SAE 2022). Postharvest Machinery, Faculty of Engineering and Technology, Nong Lam University - Ho Chi Minh City, Vietnam.

EFFECTS OF BOKASHI AND COMPOST EXTRACTS ON YIELD OF

APPLYING CONVOLUTION NEURAL NETWORKS FOR LEAF IMAGE RECOGNITION WITH THE VIETNAMESE LEAF IMAGE DATABASE

EVALUATING OF CORRELATION OF THE ANTIBODIES AGAINST PORCINE CIRCOVIRUS TYPE 2 IN VACCINATED SOWS AND THEIR

Food loss and waste generation are also the major inefficiencies in the food processing sector. Bolting was not influenced by sowing time, but by the volume of the root zone during cultivation in the high temperature season.

Introduction

BUDDING AND FLOWERING OF Delphinium grandiflorum IS NOT AFFECTED BY THE TIME OF PLANTING BUT THE VOLUME OF THE ROOT AREA. In this experiment, the effects of seedling growth period and root area volume on growth, flowering and cut flower characteristics in 'F1 Morpho Grand Blue' were investigated.

Material and methods

In a preliminary experiment, when 'F1 Morpho Platinum Blue' sown in a 406-cell tray with root zone volume of 4 ml was continued to grow in the cell, it did not bolt at all, even at high temperatures in the summer and even beyond autumn. There is a possible production that high quality cut flowers can be done. 2022) reported that 'F1 Morpho Platinum Blue' and 'F1 Morpho Grand Blue' grown in 406-cell trays could prevent early bolting.

Results and Discussion

Effect of root zone volume (cell size) and sowing date on leaf number during cultivation period of Delphinium grandiflorum cv. Yoshida (2022) Effect of increasing root zone duration and volume on shoot and cut flower quality of Delphinium grandiflorum var.

Table 1. Effect of cell size and sowing date on bolting during raising period of Delphinium  grandiflorum cv
Table 1. Effect of cell size and sowing date on bolting during raising period of Delphinium grandiflorum cv

Materials and Methods 1. Field sampling and analysis

  • Chemical oxygen demand (COD) analysis
  • Methane reduction calculation
  • Performance of wastewater treatment
  • Methane emission reduction

Flow COD,i,y = Chemical oxygen demand from wastewater flow to basic treatment system i in year y (t/m3). MCF ww,PJ,discharge = Methane correction factor based on the wastewater discharge route in the project scenario (0.1).

Figure 2. The GHG emission reduction credit volumes for three pig farms.
Figure 2. The GHG emission reduction credit volumes for three pig farms.

Conclusions

Freeze drying is one of the most reliable and efficient snack processing methods for producing the highest quality snacks. Therefore, freeze drying can help preserve the flavor of kefir milk as well as other vitamins, minerals and various healthy bacteria.

Materials and Methods Kefir milk production

Similarly, snacks made from this kefir milk with 0.1% gelatin and freeze-dried at -35°C for 30 hours had the highest acceptance. Sample names were abbreviated as follows: 100% kefir milk (KM) samples are stored in LDPE zipper packs (ZKM), in aluminum foil packs (AKM) and in LDPE vacuum packs (VKM).

Table 1. Mixing recipe for snack production            Materials
Table 1. Mixing recipe for snack production Materials

Results and Discussions Sensory evaluation of kefir milk

Fermentation time is an important factor that contributes to the acceptability of the kefir milk. The moisture content and weight of the freeze-dried snack bites. Samples Moisture content (%) Weight (g).

Table 2. The result of sensory evaluation of three types of milk after 16 and 24 hrs  Samples  Appearance  Texture/
Table 2. The result of sensory evaluation of three types of milk after 16 and 24 hrs Samples Appearance Texture/

Materials and methods

  • Characteristics of the experimental site
  • Preparation of Bokashi and Compost extracts 1. The Bokashi method
  • Effects of Compost and Bokashi extracts on growth and yield of Japanese Watercress (Nasturtium officinale)
  • Data collection and statistics

In fact, the addition of organic nutrients in liquid form is believed to improve the efficiency of nutrient absorption in plants. Japanese watercress is grown in crocodile tooth style at a density of 83,333 cuttings/1,000 m2.

Figure 1. Structure of the Bokashi bin (A) and Compost tea bin (B)  2.2.2. The Compost tea method
Figure 1. Structure of the Bokashi bin (A) and Compost tea bin (B) 2.2.2. The Compost tea method

Results and discussion

  • Summary of inputs–outputs of the Bokashi and Compost tea methods
  • The properties of Bokashi and Compost extracts
  • Effects of Compost and Bokashi extracts on the plant growth
  • Effect of Compost and Bokashi extracts on theoretical and actual harvested yield of Japanese Watercress

Effects of compost and bokashi extracts on growth and yield of Japanese watercress (Nasturtium officinale) (Nasturtium officinale). Effects of compost and bokashi extracts on plant height (A), number of leaf pairs/main stem (B) and primary branches/plant (C) of Japanese watercress.

Table 3. Summary of weight and volume of inputs–outputs of two methods
Table 3. Summary of weight and volume of inputs–outputs of two methods

Conclusion

In 'Nessho', flower color is also affected by the expression level of DvFNS in the whole plant (Okada et al., 2018). In the cultivar dahlia 'Nessho', there is also a correlation between DvFNS gene expression levels in young, unexpanded leaves and flower color expression (Okada et al., 2018).

Materials and Methods 1. Plant materials

  • Classification of plants
  • Induction of DvFNS expression
  • Total RNA extraction and real-time qPCR
  • Statistical analysis

We compared DvFNS gene expression in young unexpanded leaves of relatively low-susceptible and relatively high-susceptible plants before and after treatment with DvFNS gene-inductive conditions. Eight candidate plant strains with relatively low sensitivity (CRL1, CRL2, CRL3CRL4, CRL5, CRL6, CRL7, and CRL8) and one highly sensitive CRH strain were used in subsequent experiments for analysis of DvFNS gene expression.

Figure 2. Plant materials used in the experiment; (a)`Nessho` plant with more than three  internodes, (b) plant pinched above the 2 nd  internode, (c) young un-expanded leaf used for
Figure 2. Plant materials used in the experiment; (a)`Nessho` plant with more than three internodes, (b) plant pinched above the 2 nd internode, (c) young un-expanded leaf used for

Results and Discussions

In petunia, gene expression for CHS is increased by exposure to low temperatures (Shvarts et al., 1997). African swine fever (ASF) is an acute infectious disease caused by African swine fever virus (ASFV), genus Asfivirus, family Asfarividae (Dixon et al., 2013).

The infection and spread of ASFV in Vietnam

This study aimed to provide a general picture of the clinical symptoms, lesions and risk factors of ASF in the complex epidemiological context of Vietnam. In addition, we used the references from Vietnamese journals, including Journal of Veterinary Science and Technology, Vietnam Journal of Agricultural Sciences, and Can Tho University Journal of Science.

The risk factors of ASF in Vietnam

Farms using river water had a 1.67 times higher risk of disease than farms using well water (Nguyen et al., 2020). Farms near burial sites had a much higher risk of disease than others (Vo et al., 2021).

Clinical signs and lesions of ASF in Vietnam

In some cases, the lymph nodes swell up large and dark, similar to a blood clot (Nguyen et al., 2020). The spleen of pigs infected with AFSV shows signs of infarction that make it enlarged and fragile (Tran et al., 2021).

Table 1. The prevalence (%) of clinical symptoms reviewed from previous studies  Clinical signs  Sows
Table 1. The prevalence (%) of clinical symptoms reviewed from previous studies Clinical signs Sows

Conclusion

Clinical and pathological investigation of the first outbreak cases of African swine fever in Vietnam, 2019. The future of the pig industry after the introduction of African swine fever in Asia.

MATERIALS AND METHODS 1. General structure of the study

  • Establishing the set of questions for biosecurity assessment
  • Building the software Pighealth Security-X
  • Evaluating the reliability of scores by applying the App in the file of pig farms To evaluate the reliability of scores given by Pighealth SecurityX software in the field, a survey
  • Data analysis

The traditional approach involved eight aspects of biosafety assessment, including location and structure; Livestock farming practice;. In breeding sow farms with suckling piglets, sows and boars, the maximum disease score was 85; at fattening pig farms the maximum disease score was 50.

Figure 1. Swine production model with three distinct zones: Risk zone (1: area for vehicle  washing facility, human disinfection room, car park; 2: area for warehouse and isolated room
Figure 1. Swine production model with three distinct zones: Risk zone (1: area for vehicle washing facility, human disinfection room, car park; 2: area for warehouse and isolated room

RESULTS

The questionnaire for the App Pighealth Security-X

For suckling piglets, weaned pigs, growing pigs and boars, the maximum number of disease points for each group of pigs was 25 points. On-farm disease incidence results were converted to a percentage (%) by dividing the total number of diseases on the farm by the maximum number of diseases and multiplying by 100%.

Building the software Pighealth Security-X

In detail, large farms had a higher score in all eight aspects with a statistical difference (P<0.05). In the modern approach, large-scale farms had a higher biosecurity score in all aspects (P<0.05).

Figure 2. The interface of filling farm structure information and biosecurity assessing options  (A); The information registration and approach selection of biosecurity in the App (B, C) and
Figure 2. The interface of filling farm structure information and biosecurity assessing options (A); The information registration and approach selection of biosecurity in the App (B, C) and

DISCUSSION

Respiratory and gastrointestinal failure contributed significantly to disease status in study farms, especially on medium-sized farms. The study also found that large farms had a higher biosecurity score in all eight aspects of biosecurity compared to medium-sized farms.

CONCLUSIONS

EFFICIENCY OF WATER USE FOR IRRIGATION OF WET RICE CULTIVATION UNDER CLIMATE CHANGE IN PHU THIEN DISTRICT, GIA LAI PROVINCE. Keywords: AquaCrop, CropWat, climate change, irrigation water use efficiency, alternating flooding and drying.

Materials and Methods 1. Study area

Data collection 1. Climate

  • Crop
  • Soil

In Phu Thien district, paddy rice is grown in spring and summer-autumn crops, which is alternately wetted and dried during floods. The Kc of wet rice in CropWat was calibrated based on Vietnam National Standard TCVN 8641-2011 for irrigation water.

Table 3. The parameters of soil texture class
Table 3. The parameters of soil texture class

AquaCrop model

Results and Discussions 1. Irrigation requirement

Rice yield

Thus, the average rice yield reached 4.61 tons/ha in the base scenario and decreased significantly with climate humidity. The reason is that higher temperature promotes higher evaporation leading to increased evaporation and reduced rice yield.

Irrigation Water Use Efficiency

The impact of three climate change scenarios compared to the baseline scenario on rice yield on three soil textural classes and two crops in Phu Thien district is shown in Figure 3. The impact of salt and fertilizer concentrations on rice yield is not taken into account in the AquaCrop model.

Related works

Convolutional Neural Network

The SoftMax function is a function that converts a vector of n values ​​to a vector of n values ​​that sums to 1. The final fully connected layer's output is generally equivalent to the layer to be identified.

The architecture of the AlexNet model

As a result, image details are preserved while the image size is drastically reduced (Krizhevsky, A., Sutskever, I., 2012; Zeiler & Fergus, 2014). The SoftMax function is used as the activation function in a final layer to normalize the outputs, each output value is interpreted as the probability of each class (Chen et al., 2022).

The architecture of the ZFNet model

Research Methods 1. Collecting data

  • Introducing datasets
  • Data collection methods
  • Request picture samples
  • Proposed model

The pictures of some plants' leaves were taken with the leaves still on the plant (without clipping the leaves), as cutting the leaves causes leaf curling, which leads to image degradation. This is the most suitable time for sampling because the sunshine is at its peak and the standing water on the leaves has evaporated.

Table 2. The list of collected leaf photo samples
Table 2. The list of collected leaf photo samples

Based on the AlexNet and ZFNet models, we proposed a model with eleven layers (excluding the input data layer) with four convolution layers, four maximum-pooling layers and three fully connected layers, as shown in Figure 9. We have more than a max pool layer and less than a convolution layer and changed the order of layers.

Convolution of 96 filters, size 7 x 7, stride 2, padding 3

Experimental results

The proposed model requires 1.82 MB of memory for each image and has 33 million parameters, significantly lower than AlexNet and ZFNet's 60 million. The number of generated parameters is reduced, resulting in a lower complexity of the proposed model and a reduction in training time.

Mobile application

Studies synthesizing and classifying factors influencing farmers' choice of marketing channels for agricultural products appear to be relatively limited. Therefore, this study aims to provide a comprehensive synthesis of factors that influence farmers' choice of marketing channels.

Materials and methods 1. Marketing channels

  • Materials and Methods
  • Marketing channels used by smallholder farmers
  • Factors affecting smallholder farmers' choice of marketing channels
  • Empirical studies on relationship quality
  • Factors affecting relationship quality
  • Research methods 1. Selection of study area
    • Data collection
    • Data analysis

In the agricultural sector, the factors influencing the choice of marketing channels also differ significantly. Empirical studies on factors influencing farmers' choice of marketing channels mainly focus on demographic factors (age, gender, experience, education, household size); agricultural factors (farm size, production, location, membership, access to information, off-farm work), transaction-specific factors (price, transportation costs, payment, channel offers) and relationship dynamic factors (trust, personal relationships, power and negotiation).

Table 2. Summary of factors affecting smallholder farmers
Table 2. Summary of factors affecting smallholder farmers' choice of marketing channels in previous studies SectorCountries

Results and discussions

  • The relationship between Chanh Viet Company and the distributors
  • Structural equation modeling analysis and hypothesis test

Trade policy has a positive influence on the quality of the relationship between producers and distributors. The results of the hypothesis test confirm statistically significant relationships between the factors in the model.

Table 1. The relationship between Chanh Viet Company and the distributors
Table 1. The relationship between Chanh Viet Company and the distributors

Conclusion and policy implication

Limitations of the study

Although the public extension service normally plays the leading role and has some success in transferring knowledge and technical advances to farmers, in many cases it is not as effective as the private extension service. Although the public extension service normally plays the leading role and has some successes in transferring knowledge and technical progress to farmers, in many cases the public extension service is not as effective as the private extension service.

Materials and methods 1. Materials

  • Agricultural extension
  • Climate-Smart Agriculture
  • Methods
  • Roles and forms of agricultural extension in the world and in Vietnam
  • Agricultural extension activities applying climate-smart agriculture
  • Factors affecting the effectiveness of agricultural extension activities
  • The sample collection and fungal isolation
  • Isolation and cultivation for growing the fruiting bodies of P. sanguineus
  • Optimization conditions for growing mycelium on rubber sawdust medium
  • Mushroom extraction by using water and alcohol
  • Evaluation of antibacterial activity of P. sanguineus extracts

Evaluation of the performance of the agricultural extension system as well as its influencing factors. The enzyme concentration is one of the main factors affecting the obtained polyphenol content in the UAEE method.

Figure 1. Three goals of climate-smart agriculture.
Figure 1. Three goals of climate-smart agriculture.

Materials and methods 1. Experiment design

  • Serology
  • Bursa to body weight ratio (BBWR)
  • Infectious Bursal Disease identification by reverse transcription PCR (RT-PCR) and Sequencing
  • Bursal lesion score (BLS)
  • Statistical analysis

of the follicles shows lymphoid depletion (ie, less than 50% depletion in 1 affected follicle) influx of heterophils into lesions. of the follicles show lymphoid depletion; affected follicles show necrosis and severe influx of heterophils is detected.

Results 1. Serology

The results in Table 3 showed that layers inoculated with MB-1 had high and uniform Newcastle titers after MB-1 inoculation. Bursa to body weight ratio (BBWR), IBDV RT-PCR/sequencing and bursa lesion scores The mean BBWR scores at time points are summarized in Table 4.

Discussions

In Ovo and Day of Hatch Application of a Live Infectious Bursitis Virus Vaccine to Commercial Broilers. In ovo administration of a live infectious bursal disease vaccine to commercial broilers confers proper immunity.

Materials and Methods 1. Experiment design

  • ORT antibody in different broiler breeds
  • ORT antibody in Isa-Brown Layer
  • ORT antibody in different broiler breeds
  • ORT antibody in Isa Brown Layer
  • Determination of total phenolic content
  • Determination of total tannins content
  • Determination of total flavonoid content
  • Determination of the crude protein content
  • Determination of of crude lipid content
  • Determination of total saponin content
  • Antioxidant activity of the C. minax Hance extract
  • Antibacterial activity of the C. minax Hance extract
  • α-Amylase inhibition assay
  • α-Glucosidase inhibition assay
  • Data analysis
  • Quantitative analysis of chemical compositions
  • Evaluation of the antioxidant activity
  • Evaluation of antibacterial activity
  • The enzyme inhibition activity of the extract
  • The environment, housing and feeding of the lizards
  • Characteristic and performance
  • Reproduction
  • Harvest lizards

Where: Abs+C: the control with enzyme; Abs-C: the control without enzyme; Abs+S: the sample with enzyme; Abs–S: the sample without enzyme. Measuring tape was used to evaluate the length from the tip of the mouth to the cloaca.

Figure 1. The experimental design on laying hens.
Figure 1. The experimental design on laying hens.

Non 1* and Nguyen T. Toan 2

  • Materials and Methods 1. Farm and animal selection
    • Study design
    • Quantitative PCR (qPCR)
    • Statistical analysis
  • Results
    • PCV2 viremia in sows and piglets
    • PCV2-IgG antibody levels in sows pre- and post-vaccination
    • PCV2-IgG levels in serum samples in sows 110-day-gestation and piglets one-day old The PCV2 antibody value of sows at 110 days of gestation and their offspring were shown in
    • PCV2-IgG antibody levels in piglet
    • The correlation between PCV2-IgG antibodies in vaccinated sows and their offspring A set of mixed effect regression models was fitted to estimate the effect of the vaccine
  • Discussion and conclusion
  • Materials and Method 1. Experimental design
    • Sampling and analysis
    • Determination of antibody against GnRH and estrogen concentration
    • Measuring of reproductive organ

EVALUATION OF THE CORRELATION OF ANTIBODIES AGAINST PIG CircOVIRUS TYPE 2 (PCV2) IN VACCINATED PIGS AND THEIR PROGENY. In general, the parity of the vaccine and the pig did not affect the IgG concentration of the piglets for almost the entire duration of the study.

Table 1. Study design and collecting of blood sample
Table 1. Study design and collecting of blood sample

Gambar

Figure 2. Effect of sowing date and cell size on cut flowers length rate of Delphinium  grandiflorum cv
Figure 2. The GHG emission reduction credit volumes for three pig farms.
Table 1. Summary of the emission reduction credit volumes and emission factors for three pig  farms
Figure 3. The power generation and methane production in the Changhua farm.
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