Disease Attack Research Articles

Pengaruh dosis kalium terhadap intensitas penyakit bercak daun yang disebabkan oleh Cercospora personata pada tanaman kacang tanah

Cercospora personata is a pathogen that causes leaf spot disease, as one of the important diseases of peanut plants, known to reduce the rate of photosynthesis to reduce plant production by up to 50%. The handling of Cercospora attacks so far is still focused on the method of spraying fungicides. Potassium fertilization is known to increase plant resistance from one of the Cercospora attacks. The right dosage to overcome Cercospora attacks needs to be studied so that the method of fertilizing potassium in peanut plants can be implemented effectively. This study was conducted in an experimental garden using 5 dosages of potassium and repeated 3 times. The composition of the treatment used is: D0 (control), D1 (2 gr of potash fertilizer per plant), D2 (4 gr of potash fertilizer per plant), D3 (6 gr of potash fertilizer per plant) and D4 (8 gr of potash fertilizer per plant). Weekly observations were made on the variables of plant height, number of leaves, number of saplings, as well as the intensity of disease attacks. The results showed that the dose of potassium had a significant effect on several components of plant growth and the intensity of disease attacks. The application of potassium as a fertilizer has a significant influence on the observation components of the number of leaves (plant age 8, 10, and 12 MST), the number of saplings at plant age 10 MST, and the intensity of leaf spot disease attacks (plant age 8, 10, and 12 MST). Plants that were not given potassium showed leaf spot disease attacks with the highest intensity compared to the other four treatments. This pattern was seen at observation ages of 8, 10, and 12 MST.

Research Trends on Atopic Dermatitis an Autoimmune Disease and Exercise

PURPOSE: Autoimmune diseases attack the organs and tissues of the body because of abnormalities in the immune system, causing health issues such as inflammation and atopic dermatitis. Atopic dermatitis is a chronic inflammatory skin disease with a multifactorial pathogenesis that presents with an itchy, dry dermis. Atopic dermatitis can be alleviated or worsened by environmental factors, and studies have reported that exercise has various effects on atopic dermatitis.METHODS: This review collected and analyzed data on the effects of exercise and atopic dermatitis from previous studies obtained through online databases and search engines, including PubMed, Web of Science, and Google Scholar.RESULTS: Moderate exercise has a positive effect on the health of patients with atopic dermatitis. During moderate- and high-intensity exercise, the thickness of the dermis and epidermis of atopic skin, serum immunoglobulin (Ig)E levels, and cytokine levels decreased. However, conflicting results showed that high-intensity swimming exercises increased the severity of atopic dermatitis. Additionally, patients with atopic dermatitis and lower physical activity levels showed increased disease severity.CONCLUSION: These results indicate that several exercises have therapeutic potential against atopic diseases. Further studies are required to investigate the effects of exercise on atopic dermatitis, including the limitations.

Survey of Major Diseases on Medicinal and Aromatic Plants Growing Areas of Ethiopia

Medicinal and aromatic plants are industrial plant that are primarily used for therapeutic, aromatic and culinary purposes as components of cosmetics, medicinal products, health foods and other natural health products. Like other cereal crops, these potential medicinal and aromatic plants are constantly in grave danger from disease attack. The aim of this study was to assess the most prevalent diseases on prioritized medicinal and aromatic plants. Survey was conducted at Wondo Genet Agricultural research stations and herb growing companies in Ethiopia. Survey fields were observed from vegetative to maturity stage of the plant to assess the pest status. A total of 11 medicinal and aromatic plants were assessed in four different locations and these herbs were attacked by various diseases. Rust disease was the most serious problem on Aloe vera and Lemon grass, accounting for 30-40 percent of disease severity at Wondo Genet. In Butajira, powdery mildew was the most common disease found on sage, with a 20 percent severity. Downy mildew was recorded as a major disease on basil plants in Hawassa and Debre Zeit, with a 30-35 percent severity. Therefore, identification of the pathogen's causing agents and integrated disease management for the major recorded diseases of medicinal and aromatic plants needs further research.

Comparative genomics and bioinformatics approaches revealed the role of CC-NBS-LRR genes under multiple stresses in passion fruit.

Passion fruit is widely cultivated in tropical, subtropical regions of the world. The attack of bacterial and fungal diseases, and environmental factors heavily affect the yield and productivity of the passion fruit. The CC-NBS-LRR (CNL) gene family being a subclass of R-genes protects the plant against the attack of pathogens and plays a major role in effector-triggered immunity (ETI). However, no information is available regarding this gene family in passion fruit. To address the underlying problem a total of 25 and 21 CNL genes have been identified in the genome of purple (Passiflora edulis Sims.) and yellow (Passiflora edulis f. flavicarpa) passion fruit respectively. Phylogenetic tree was divided into four groups with PeCNLs present in 3 groups only. Gene structure analysis revealed that number of exons ranged from 1 to 9 with 1 being most common. Most of the PeCNL genes were clustered at the chromosome 3 and underwent strong purifying selection, expanded through segmental (17 gene pairs) and tandem duplications (17 gene pairs). PeCNL genes contained cis-elements involved in plant growth, hormones, and stress response. Transcriptome data indicated that PeCNL3, PeCNL13, and PeCNL14 were found to be differentially expressed under Cucumber mosaic virus and cold stress. Three genes were validated to be multi-stress responsive by applying Random Forest model of machine learning. To comprehend the biological functions of PeCNL proteins, their 3D structure and gene ontology (GO) enrichment analysis were done. Our research analyzed the CNL gene family in passion fruit to understand stress regulation and improve resilience. This study lays the groundwork for future investigations aimed at enhancing the genetic composition of passion fruit to ensure robust growth and productivity in challenging environments.

Effect of doses fertilizer and harvest interval on the intensity of leaf spot diseases, production and quality of citronella grass (Cymbopogon nardus L.) essential oils in ultisols soil

Until now, Indonesia is still a world exporter of essential oils, including citronella oil. So that the role of farming communities in the development of Indonesia's essential oil industry is very helpful. For this reason, a study was carried out on response of fertilization and harvest interval on the intensity of leaf spot diseases of citronella grass, and productivity in ultisols soil which was carried out from October 2020 to September 2022. The experiment was arranged in a randomized block design in factorial with 9 treatments, as the first factor is 3 levels of an organic fertilizer (NPK); P1 = 25 g clumps −1, P2 = 37.5 g clumps −1 and P3 = 50 g clumps −1. The second factor is the harvest interval with three levels which is 4 = harvest interval once every 4 months, 3 = harvest interval every 3 months and 2 = harvest interval once every 2 months, repeated three times. Each treatment plot consisted of 24 clumps with a plant spacing of 1 × 1 × 1 m. Varieties used is Serai wangi 1. Parameters observed were intensity of leaf spot diseases, vegetative growth, livestock production, oil production, quality analysis and R/C ratio. The results showed that there was an effect of fertilizer doses and harvest intervals on the development of leaf spot disease. It was seen that at the application of fertilizer doses of 37.5 g clumps −1 with harvest intervals once every three months showed the lowest disease attacks, namely on Cuvularia sp and Pestalotia sp (5.98%, 5.42% and 7.98 %, 7.44 %). In addition, the development of vegetative growth is also influenced by the application of fertilizer doses and harvest intervals on the parameters of canopy width, plant height, leaf length, leaf width and number of tillers. The best fertilizer dose is 37.50 g clump −1 successively (175.40 cm, 172.29 cm, 113.62 cm, 2.36 cm and 119.59 stems), with harvest intervals every 3 months (179.40 cm, 187.29 cm, 119.44 cm, 2.45 cm and 120.00 stems), as well as fresh leaves production tons/ha/year and oil production kg/ha/year the best is the application of fertilizer doses of 37.50 g clumps−1 with harvest intervals once every 3 months (67.81 tons−ha-year and 578.61 kg−ha- year,with, 67.40 tons–ha-th and 517.60 kg–ha-th). For oil quality, numerically, the application of fertilizer at a dose of 37.50 g of clump −1 with harvest intervals every 3 months is still high. The proper R/C ratio for farming occurs in the 2 nd year by administering a fertilizer dose of 37.50 g clump−1 and harvesting intervals once every 3 months with an increase of 116.67%. So, the citronella grass variety Serai wangi 1 can be developed on ultisol soil types by applying an organic fertilizer (NPK).

Contradictions between commercializing seeds, empowering smallholders farmers, and promoting biodiversity in Ghana: Seed policy within a historical framework

This article critically examines the agricultural development agenda of promoting commercialization and sustainable intensification and contrasts this with farmers’ own priorities, with case studies drawn from the maize and cocoa sectors in Ghana. The study investigates the relationship between agricultural development paradigms, seed breeding strategies, and the commercialization of agriculture from the 1950s to present. It returns to the debates of farming systems research, the appropriation of the agricultural varieties of farmers within the South by Northern agribusiness, and Paul Richards’ framework of an Indigenous African agricultural revolution rooted in the experimental traditions of farmers to establish a critical framework for examining the commodification of seeds. It focuses on the contradictions between maintaining biodiversity, fashioning high-yielding proprietary seeds, and promoting farmer participation that became manifest in the framework of farming systems research. It argues that commercial pressures have prioritized yields and the protection of proprietary varieties over biodiversity in policy frameworks. This contrast with farmers’ own concerns with adapting varieties to the conditions on their farms through their own experimentation, and maintaining a diversity of changing genetic materials including those drawn from certified varieties. This enables farmers to hedge against risk, disease, and pest attacks, while selecting varietal materials that optimize yields in the particular agroecological conditions of their farms. Although social participation is still upheld as an important value in liberal market agrarian policies, there has been a significant transformation in its usage. It no longer denotes farmer participation in the design of and experimentation with technology, but participation in the consumption of the agricultural products of agribusiness or in the agricultural technology treadmill. This contribution examines the implication of smallholder agricultural commercialization for biodiversity and for the dynamism and vitality of local farming systems.

Silicon Mitigates the Attack of Pests and Diseases on Ipê-Roxo (Handroanthus impetiginosus) Seedlings

Abstract Background Silicon in plants is a structuring element that promotes water and saline stress tolerance and decreases transpiration. The silica accumulated in the cuticle establishes a physical barrier and helps fight against pests and diseases. The present study aimed to evaluate the development of ipê-roxo (Handroanthus impetiginosus) seedlings in different environments, and the application of potassium silicate and its efficiency in mitigating the attack of pests and diseases. Methods The experiment was carried out in an agricultural greenhouse and under full sun with silicic doses of 0 and 7.15 mg per plant in a completely randomized design arranged in a 2 × 2 factorial scheme, with 6 replications of 4 seedlings per plot. Plant height, chlorophyll, stem diameter, number of leaves, shoot dry matter, root dry matter, total dry matter, height-diameter ratio, root-shoot ratio, root-plant ratio, Dickson quality index, disease severity, and pest intensity were evaluated. Results Silicon application did not confer biometric qualities to the seedlings. The application of silicon conferred 24.6% higher protection against disease severity at a 90% probability level. The protected environment promoted 48.8% more protection against the attack of pests on the seedlings. The silicon application decreases the intensity of pests in the protected environment by 36.3%. Seedlings in a protected environment increase the production of chlorophyll but are 29.6% more susceptible to the severity of diseases. The full sun promoted greater diameters, phytomass, and Dickson quality index by 18%, 73%, and 195%, respectively. Conclusions The bestHandroanthus impetiginosusseedlings were obtained under full sun. Silicon mitigated the attack of pests and diseases onHandroanthus impetiginosusseedlings.

Diplodia seriata Biocontrol Is Altered via Temperature and the Control of Bacteria.

Grapevine trunk diseases (GTDs) attack the vine's wood, devastating vineyards worldwide. Chile is the world's fourth-largest wine exporter, and Cabernet Sauvignon is one of the most economically important red wine varieties. Botryosphaeria dieback is an important GTD, and Diplodia seriata is one of the main pathogenic species. Biocontrol studies of these pathogens are commonly carried out at different incubation times but at a single temperature. This study aimed to evaluate the biocontrol effect of Chilean PGPB and grapevine endophytic bacteria against D. seriata at different temperatures. We analyzed the biocontrol effect of Pseudomonas sp. GcR15a, Pseudomonas sp. AMCR2b and Rhodococcus sp. PU4, with three D. seriata isolates (PUCV 2120, PUCV 2142 and PUCV 2183) at 8, 22 and 35 °C. Two dual-culture antagonism methods (agar plug diffusion and double plate) were used to evaluate the in vitro effect, and an in vivo test was performed with Cabernet Sauvignon cuttings. In vitro, the greatest inhibitions were obtained using the agar plug diffusion method and at a temperature of 8 °C, where Rhodococcus sp. PU4 obtains a 65% control (average) and Pseudomonas sp. GcR15a a 57% average. At 22 °C, only strains of Pseudomonas sp. show control. At 35 °C, one Pseudomonas strain shows the highest control (38%), on average, similar to tebuconazole (33%), and then Rhodococcus sp. (30%). In vivo, a biocontrol effect is observed against two D. seriata isolates, while the PUCV 2142 proves to be more resistant to control. The biocontrol ability at low temperatures is promising for effective control in the field, where infections occur primarily in winter.

Early detection of sweet potato weevil (Cylas formicarius) and scab diseases (Sphaceloma batatas) outbreak based on android application

Sweet potato weevil and scab disease are major pests and diseases that become obstacles for increasing sweet potato production in Indonesia. Recently, the incidence of both pest and disease attacks can be detected earlier by using an android-based mobile application. This study aims to assemble an android-based mobile application for early detection of the outbreak of sweet potato weevil and scab disease. This research was conducted in in Malang Regency, East Java, from September to December 2022. Research was carried out by survey, observation, literature studies, and interview with the leaders of farmer association, sweet potato farmers, and local agricultural extension staff. All basic data and supporting data as a trigger for the occurrence of the weevil and scab disease have been collected from the several sample areas. The information was arranged in clusters according to the priority of each variable then was entered into the android studio. The user must enter the supporting data based on the application program to find out the percentage of sweet potato weevil and scab disease. Understanding the predictive value of the incidence of major pests and diseases is required, so farmers can anticipate earlier and prepare appropriate, effective and efficient control technology. An-android mobile application version 1 for early detection of pest and disease which was successfully assembled was expected to be greatly assist sweet potato farmers for maintain their cultivation from yield losses due to C. formicarius and scab which can reduce the quantity and quality by up to 100%.

Determining Rice Farming Risk Priorities in North Aceh Regency.

North Aceh is the main rice-producing district in the Indonesian province of Aceh. This research aims to determine the level of risk, the impact of risk, and the risks that must be prioritized in rice farming businesses in North Aceh Regency. The type of data used in this research is primary and secondary data. Data was collected using a survey method involving 180 respondents using a snowball sampling technique. The data analysis method used in this research is the Risk Calculator method. Risk Calculator is a method for determining priority risks. We found that the risks that need to be a top priority are bird pest attacks, rat pest attacks, Kresek disease attacks, blast disease attacks, and the risk of expensive farm labor wages and high harvest costs.

Analysis of 332 fiberoptic bronchoscopies performed in a respiratory intensive care unit: a retrospective study.

Fiberoptic bronchoscopy (FOB) is widely used in the intensive care unit for diagnostic and therapeutic purposes. Our study aimed to evaluate FOB's indications, complications, and clinical outcomes in our intensive care unit's mechanically ventilated patients and identify the microorganisms grown in bronchoalveolar lavage (BAL) specimens. Between January 1, 2022, and June 30, 2023, a total of 332 FOBs were performed on 178 patients in the respiratory intensive care unit. Patients' mean age was 64±19.4 years. Females accounted for 65 (36.6%) and males accounted for 113 (63.4%) of the cases. Leading diagnoses included pneumonia (59.5%), acute respiratory distress syndrome (ARDS) (20.7%), sepsis (17.9%), chronic obstructive pulmonary disease (COPD) attack (21.9%), pulmonary embolism (10.1%), lung malignancy (43.8%), hemoptysis (8.9%), heart failure (15.1%), neurological/neuromuscular conditions (8.4%), and post cardiopulmonaryresuscitation (CPR) (2.8%). FOB purposes were BAL retrieval (43.6%), secretion clearance (30.4%), guided tracheostomy (11.7%), atelectasis (8.7%), and hemoptysis (5.4%). Hypoxemia marked the primary FOB complication (3.6%). Other issues encompassed hypotension (1.5%), bradycardia (1.2%), bleeding (1.2%), tachycardia (0.9%), and hypertension (0.6%). No statistical significance was found in arterial blood gas pH, arterial partial pressure of oxygen (PaO2), and arterial partial pressure of carbon dioxide (PaCO2) values before and after the FOB procedure (p>0.05). Predominant pathogens in aspiration samples were non-albicans Candida (28.9%), Klebsiella pneumoniae (24.8%), Pseudomonas aeruginosa (14.4%), and Acinetobacter baumannii (11.7%). FOB is an important diagnostic and therapeutic method with a low complication rate when performed by an experienced team with appropriate indication in the intensive care unit.

Utilization of Artificial Neural Network in Rice Plant Disease Classification Using Leaf Image

Rice is the name of the type of plant that is needed by humans in the world. The plant is used as the main source of energy by Most people in the world, especially on the Asian continent. The importance of rice plants makes rice widely planted in various regions. Most humans use rice as a staple crop. Therefore, rice production needs to be considered to meet the need for enough food for most people in the world. The main thing that needs to be considered in maximizing rice production is that when guarding rice plants, many factors that inhibit rice plants can be the cause of food crises in various regions. Therefore, the care of rice production needs to be considered. In addition to the lack of nutrients in water and soil in decreasing rice production, plant diseases also need to be considered. Some types of diseases that often attack rice plants include bacterial leaf blight, brown spots, and left smut. Therefore, there is knowledge of prevention efforts or early treatment before the disease attacks rice plants more widely. The efficacy of technology can be used in solving this problem, we can take advantage of artificial intelligence in it. Artificial intelligence is implemented for the detection of types of diseases in rice plants using image images on the leaves of rice plants. If the disease in rice plants can be detected, it will make it easier for rice plant farmers to overcome the disease. The ANN (Artificial neural network) algorithm can be used in this problem from the results of research on identifying the type of rice disease using the algorithm obtained an accuracy of 83%. This shows the ability of artificial intelligence in disease identification can help farmers detect types of diseases.

Kandungan senyawa capsaicin dalam cabai (Capsicum Annuum L) sebagai anti hama pada sayuran: Kajian pustaka

Vegetables are one of the most widely cultivated crops because of their important role in fulfilling food nutrition. In the implementation of vegetable cultivation, there will be obstacles such as pest and disease attacks. Chili plants can be used as vegetable pesticides because they have capsaicin compounds that can have a negative effect on pests. This literature review aims to discuss capsaicin compounds as anti-pests in vegetables, namely by causing the death of vegetable pests in several studies. The method used was a literature study. The results in the four articles reviewed show that the capsaicin compound in chili peppers can be used as a vegetable pesticide because it can affect digestion, inhibit growth and nerve work in pests which ultimately causes the death of these pests. The higher the concentration of chili extract, the higher the percentage of pest mortality. This vegetable pesticide from red chili extract can be used as an alternative to chemical pesticides.

Analisis Risiko Usahatani Padi Sawah Di Desa Radey Kecamatan Tenga Kabupaten Minahasa Selatan

The purpose of the study was to analyze the risk of wet-rice farming in Radey Village, Tenga Subdistrict, South Minahasa Regency. The research lasted for 2 months from September to October 2023. The research was conducted in Radey Village, Tenga District, South Minahasa Regency. Data collection methods in this study were collected through primary data obtained through direct interviews with wet-rice farmers in Radey Village using questionnaires. Secondary data were taken from village and sub-district offices as well as previous research reports, journals, and from the internet related to the research. The sampling method was purposive sampling. The number of samples in this study were 20 respondents who owned farmland (owners) to determine priority risks. Data analysis used in this research is the FMEA (Failure Mode and Effect Analysis) method. Criteria in assessing risk refers to The Basic of FMEA by McDermott with a scale of 1 to 3. Calculate the priority level of each risk source based on the Risk Priority Number (RPN) value. The results showed that there are 2 sources of risk faced by rice farmers that are directly related to rice plants and affect rice farming, namely the risk of production risk sources and price and marketing risks, production risks as many as 4 risks, namely strong winds, pest and disease attacks, erratic weather and climate, high rainfall intensity. Price and marketing risks are 2 difficulties in the process of selling grain, and expensive fertilizer prices. Based on the calculation of the RPN (Risk Priority Number) value, there are 3 risks out of 6 risks faced by rice farmers that must be prioritized. The first risk that must be prioritized first is uncertain weather/climate with an RPN value of 14.25, the second risk of high rainfall intensity with an RPN value of 12.16, and the third risk of strong winds with an RPN value of 10.72.

Uji Efektivitas Daun Sirih Dalam Menghambat Pertumbuhan Layu Bakteri Ralstonia solanacearum Pada Tanaman Terung

Ralstonia solanacearum is one of the important diseases in eggplant plants which causes bacterial wilt in plants so control efforts need to be taken. One alternative control method is using vegetable pesticides from betel leaf powder. This research aims to determine the effectiveness of betel leaves in inhibiting the growth of R. solanacearum bacterial wilt on eggplant plants. This research used a Completely Randomized Design (CRD) with 5 treatments and 5 replications, each replication using 4 plants so there were 100 experimental units. The treatment used doses of 25 gr, 50 gr, 75 gr, 100 gr of betel leaf powder, and as a comparison, namely the control treatment in this study. Observations were made every day after inoculation to see the incubation period that occurred in the eggplant plants and once a week to observe the disease intensity and severity of the disease in the eggplant plants. The results of this study showed that an effective treatment with a dose of 100 g of betel leaf powder with an eggplant plant age of 47 days after showed the lowest treatment in suppressing Ralstonia solanacearum bacteria, namely a disease intensity percentage of 15% with a disease severity percentage of 20% and had the lowest incubation period. slow, namely 19 days, this shows that betel leaves have an effect in suppressing disease attacks caused by R. solanacearum on eggplant plants because they have antibacterial active compounds.

Nicotiana alkaloids-intervened phospholipid ozonolysis at the air-water interface

Cigarette nicotiana alkaloids associated with lung and cardiovascular diseases attack enormous attention. However, the mechanism at the molecular level between nicotiana alkaloids and phospholipid ozonolysis remains elusive. Herein, we investigated the interfacial ozonolysis of a hung droplet containing 1-palmitoyl-2-oleoyl-sn-phosphatidylglycerol (POPG) intervened by nicotiana alkaloids (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, NNK; rac-N′-nitrosonornicotine, NNN; nicotine; and (R,S)-N-nitrosoanasabine, NAT) and followed by on-line mass spectrometry analysis. NNK and NNN showed an acceleration on the interfacial ozonolysis, while nicotine and NAT inhibited this chemistry. Such acceleration/inhibition on POPG ozonolysis was positively correlated with nicotiana alkaloid concentrations. The reaction rate constants suggested that the ozonolysis of lung phospholipids exposed to cigarette smoke at the air-water interface occurred rapidly. A possible mechanism of the hydrophilic/oleophilic nature of nicotiana alkaloids mediating the packing density of POPG was proposed. NNK and NNN with a hydrophilic nature inserted into the POPG monolayer loosed the packing, but nicotine and NAT with an oleophilic nature let the POPG closely pack and shield the CC double bonds exposed to ozone (O3). These results gain the knowledge of nicotiana alkaloids mediated phospholipid ozonolysis at the molecule level and provide a method for online interfacial reaction studies associated with elevated indoor pollutants on public health.

Single and multi-crop species disease detection using ITSO based gated recurrent multi-attention neural network

<p>Diseases of crop plants pose a serious danger to agricultural output and progress. Predicting the onset of a disease outbreak in advance can help public health officials better manage the pandemic. Precision agriculture (PA) applications rely heavily on current information and communication technologies (ICTs) for their contribution to long-term sustainability. Preventative measures against plant diseases require accurate early disease prediction in order to be effective. The current computer vision-based illness detection technology can only detect the disease after it has already manifested. This research intends to provide a deep learning (DL) method for early disease attack prediction using Internet of Things (IoT) directly sensed environmental factors from crop fields. There is a robust relationship between environmental factors and the life cycles of plant diseases. Disease incidence in plants can be forecast based on environmental variables in the crop field. In order to solve these issues, the research presented here suggests using a gated recurrent multi-attention neural network (GRMA-Net). The study uses multilevel modules to zero down on informative areas in order to extract additional discriminative features, as informative characteristics tend to appear at various levels in a network. In order to capture long-range dependence and contextual interaction, these characteristics are first organised as spatial sequences and then input into a deep-gated recurrent unit (GRU). Finally, an enhanced version of the Tunicate swarm optimisation model (ITSO) is used to pick the best values for the model’s hyper-parameters. Four public datasets representing a wide range of crop types are used to assess the model’s efficacy. Some of these databases cover numerous crop species, like PlantVillage (38 categories), while others focus on a single crop, such as Apple (4), Maize (4), or Rice (5). The experimental findings show that the system achieves 99.16% accuracy in identifying agricultural diseases, which is higher than the accuracy of other current deep-learning approaches.</p>

Pengaruh Umur Petani, Luas Lahan Garapan, Serangan Hama atau Penyakit serta Produktivitas Kakao terhadap Keputusan Petani Mengganti Tanaman Kakao Menjadi Nilam di Desa Puduria Jaya Kabupaten Konawe Selatan

Cocoa and patchouli plants are the two primary commodities in Indonesia's agricultural sector. Technically and economically, cocoa and patchouli cultivation have advantages and disadvantages. These advantages and disadvantages will, of course, impact the costs and revenues of farming. Meanwhile, farmers cultivating cocoa or patchouli commodities aim to obtain maximum income. However, some farmers in South Konawe Regency have decided to switch from cocoa to patchouli. Thus, this study aims to analyze the influence of farmer age, area of ​​cultivated land, pest and plant disease attacks, and cocoa productivity on farmers' decision-making to replace cocoa plants with patchouli. Puduria Jaya Village, part of South Konawe Regency, was chosen as the study location. The study was conducted in April 2020. This study determined 60 farmers who cultivate cocoa and patchouli as the study population. The census method was used to determine the sample of farmers. The variables observed were the farmer's decision to change crop types, age, cultivated land area, pest and plant disease attacks, and cocoa plant productivity. Interviews were carried out for data collection. The collected data was analyzed using binary logistic regression. The results of data analysis show that the productivity of cocoa plants significantly influences the decision-making opportunity for farmers to replace cocoa plants with patchouli. Meanwhile, the farmer's age, cultivated land area, pest attacks, and plant diseases do not have a significant effect. The greater the decline in the productivity of cocoa plants, the more excellent the opportunity for farmers to make decisions to replace cocoa plants with patchouli. Therefore, easy and cheap cocoa cultivation technology is needed to increase the productivity of cocoa farming.

Pencegahan dan Penyebaran Wabah Covid-19 di Daerah Pesisir

COVID-19 is an acute respiratory disease caused by a new type of corona virus. This disease first broke out in Wuhan, China and then spread to almost the entire world and caused a global pandemic. Main symptoms. Covid-19 includes cough, fever and shortness of breath. This disease attacks all age groups: adults, the elderly, and children. Coastal communities need to get easy-to-understand education about Covid-19 and ways to prevent it. This is the basis for the community service team for the professional study program Ners Stikes Hang Tuah Tanjungpinang to actively participate in efforts to prevent and control the Covid-19 virus by providing counseling or outreach about Covid-19 and its prevention efforts to coastal communities on the Nyirih River. The results obtained were 115 people with elementary education background 86 people (75.6%), infected with Covid-19 10 people (8.6%) positive antigen, cormobid hypertension 28 people (24.3%), cormobid DM 12 people (10 .4%) who have hyperglycemia blood glucose levels. The majority of participants have high risk factors for being infected with Covid-19 which can cause respiratory failure and death in the Comorbid group

Pengaruh Sifat Tanah Terhadap Kejadian dan Keparahan Penyakit pada Kelapa Sawit Main Nursery

Soil properties, both physical, chemical and biological, have a direct impact on the growth and health of oil palm seedlings. Fertile soil means the incidence and severity of plant diseases can be minimized. For this reason, research is needed to examine the influence of soil properties on the incidence and severity of disease in oil palm seedlings in the main nursery phase. The aim is to determine soil properties, both physical and chemical, that influence the incidence and severity of main nursery oil palm diseases. Implementation stages include taking soil samples and observing sick plants. The soil sample taken was the rhizosphere of main nursery oil palm. Data analysis uses Microsoft Excel to describe disease incidence and soil physical and chemical properties. The research results showed that in main nursery-B (MN-B) the incidence of disease attacks had a higher percentage compared to main nursery-A (MN-A). Physical and chemical properties of soil (N-available, P-available, C-organic, CEC) influence the incidence of disease attacks. The high content of available N and available P increases attacks by plant pests, while the high content of organic C and CEC can suppress pest attacks.