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INDONESIA
Indonesian Journal of Sustainable Agriculture and Environmental Sciences
Published by CV. Truly Science Publishing
ISSN : -     EISSN : 31091377     DOI : -
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Environmental Science
Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAES) is an open-access and peer-reviewed scientific journal that contains research articles, theoretical studies, and scientific papers on agriculture and environmental sciences covering agronomy and plant science, agricultural engineering and mechanization, agricultural economics and management, plant breeding, biotechnology, genetic diversity and breeding, food science and technology, plant pathology and pest control, microbiology, organic farming, post-harvest technology, soil science, land resources, phytoremediation, water management, ecology, and environmental science.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Agronomi dan Ilmu Tanaman
Articles 25 Documents
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Barriers to Sustainable Agricultural Logistics in Emerging Economies: Evidence from SMEs in Vietnam Chuyen Tran Trung; Premkumar Rajagopal
Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAES) Vol. 2 No. 2 (2026): Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAE
Publisher : CV. Truly Science Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65896/ijsaes.v2i2.30

Abstract

Background: Sustainable agricultural logistics is increasingly important for enhancing supply chain resilience and competitiveness in emerging economies. However, prior studies have mainly examined sustainable agriculture or general logistics barriers, while limited attention has been paid to how Vietnamese SMEs experience barriers to sustainable agricultural logistics in practice. Aim: This study aims to identify the key barriers to sustainable agricultural logistics from the perspective of Vietnamese SMEs operating in agricultural logistics. Methods: A qualitative exploratory design was selected because the topic remains under-researched and requires an in-depth understanding of SMEs’ practical experiences, perceptions, and context-specific constraints. Semi-structured interviews were conducted with 15 SME owners, managers, and logistics personnel in Can Tho, Dong Thap, Dong Nai, and Ho Chi Minh City. The data were analyzed using descriptive statistics and thematic analysis. Results: The findings reveal four dominant themes shaping SMEs’ adoption of sustainable agricultural logistics: market-driven pressure, resource and technology constraints, information and market-access limitations, and institutional support gaps. SMEs tended to adopt sustainability-oriented practices mainly in response to customer requirements and cost-efficiency concerns. However, their implementation capacity was constrained by limited access to market information, insufficient capital and technological resources, unstable raw material supply, and weak policy effectiveness. Conclusion: The study contributes to sustainable logistics literature by showing that SMEs’ barriers are not isolated constraints but interrelated market, resource, technological, and institutional challenges within an emerging economy context. Practically, the findings suggest the need for more targeted financial incentives, digital transformation support, human resource development, market access improvement, and logistics infrastructure investment to better align policy support with SMEs’ operational needs in Vietnam.
Valorization of Some Endophytic Fungi Isolated from Rhizome Fragments of Xanthosoma sagittifolium L. Schott, and Evaluation of Their Fertilizing Potential in Improving Growth in PIF Plants Moma Theresa Akinimbom; Djeuani Astride Carole; Hermann Desire MBOUOBDA
Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAES) Vol. 2 No. 2 (2026): Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAE
Publisher : CV. Truly Science Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65896/ijsaes.v2i2.34

Abstract

Background: To improve the growth of Xanthosoma sagittifolium, farmers use chemical fertilizers to compensate for the limited availability of soil nutrients, particularly phosphorus. Alternatives involving the use of beneficial endophytic fungi capable of mineralizing this phosphorus are an avenue that is increasingly being explored. Aim: This study aimed to evaluate the effect of biofertilizers produced from phosphate-solubilizing endophytic fungi (PSF) on certain growth parameters in Xanthosoma sagittifolium PIF plants, based on their phosphate-solubilizing capacity. Methods: Four endophytic fungi isolated from rhizome fragments of X. sagittifolium was used to produce formulations. Each formulation, produced from the culture of these fungi on a sawdust or rice bran substrate, represented one treatment. Six treatments were applied: a control treatment and five treatments consisting of fungal strains from the genera Trichoderma asperellum, Aspergillus niger, Aspergillus sp, Fusarium oxysporum, and the mixture, which were applied as fertilizer to three-month-old X. sagittifolium PIF seedlings. The experimental design was a completely randomized block design where each treatment was replicated twice. Thirty PIF seedlings were used for each treatment. Growth and the expression of potential disease symptoms were assessed. Results: All selected fungal strains were capable of solubilizing phosphorus. T. asperellum proved to be the most effective at phosphorus solubilization. The T. asperellum + rice bran fertilizer substrate improved plant growth parameters and limited disease occurrence. The treatment Rice bran + T. asperellum unveiled the highest plant height (43.17 ± 3.74 cm), number of leaves (3.3 ± 1.3), leave area (366.07 ± 55.43 cm2), and collar diameter (10.61 ± 1.15). Disease incidence and severity were higher in treatments using sawdust + Aspergillus sp, with rates of 62.162% and 58.11%, respectively. Conclusion: These results suggest that T. asperellum derived from rhizome fragments could be proposed as a suitable and reliable inoculant for improving the growth of X. sagittifolium. 
Optimization of Liquid Biofertilizer Concentrations for Improving Tomato (Solanum lycopersicum L.) Productivity under Reduced Nitrogen Input in Oxisols Welly Herman; Restu Setyaji Putra; Erlina Rahmayuni
Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAES) Vol. 2 No. 2 (2026): Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAE
Publisher : CV. Truly Science Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65896/ijsaes.v2i2.37

Abstract

Background: Oxisols are highly weathered soils with low fertility and limited nutrient availability, which restrict crop productivity. Improving nutrient efficiency through biological inputs is an important strategy to maintain crop yield while reducing dependence on synthetic fertilizers. Aim: This study aimed to evaluate the effects of different concentrations of liquid biofertilizer on tomato growth, yield, and selected soil chemical properties under reduced nitrogen fertilization in Oxisols. Methods: The experiment was conducted at the Experimental Garden of the Faculty of Agriculture, Muhammadiyah University of Jakarta, from December 2023 to March 2024 using a Randomized Block Design. Five treatments were applied, consisting of full nitrogen fertilization without biofertilizer and 70% nitrogen fertilization combined with liquid biofertilizer at concentrations of 2, 4, 6, and 8 mL L⁻¹. Plant growth, yield, and selected soil chemical properties were evaluated. Results: The application of liquid biofertilizer affected soil chemical properties and tomato productivity under reduced nitrogen input. The 4 mL L⁻¹ treatment produced the highest fruit weight of 354.80 g plant⁻¹, equivalent to 22.17 tons ha⁻¹, indicating improved nitrogen use efficiency and crop performance. Conclusion: Optimizing liquid biofertilizer concentration can enhance tomato productivity while reducing nitrogen fertilizer requirements in Oxisols. This approach provides a potential strategy for sustainable crop production by improving nutrient efficiency and minimizing environmental impacts associated with excessive nitrogen application.
Artificial Intelligence Adoption in Smart Agriculture: A PRISMA-Based Systematic Comparative Review across Australia, South Korea, Indonesia and Pakistan Muhammad Faizan Khan; Muhammad Tariq Nawaz; Bambang Hendro Trisasongko; Muhammad Madnee; Nimrah Ameen
Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAES) Vol. 2 No. 2 (2026): Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAE
Publisher : CV. Truly Science Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65896/ijsaes.v2i2.38

Abstract

Background: Artificial intelligence (AI) is steadily changing the agricultural systems around the world. However, its adoption remains uneven between developed and developing economies, creating significant inequality in productivity, technological access and food security. Aim: This systematic review determines the adaptation of AI in agriculture across Australia, South Korea, Indonesia and Pakistan. Prior systematic reviews of AI in agriculture have largely examined technical performance within single countries or technology categories, without directly comparing adoption pathways across countries at different stages of economic development. This review addresses that gap. Methods: This study addresses a critical research gap by following PRISMA 2020 guidelines. A systematic search of the Scopus database showed 940 records. Out of these, only 47 peer-reviewed studies (2015-2024) were included after screening for qualitative synthesis and thematic analysis. Extracted data were coded and grouped into four themes aligned with the review objectives, and the percentages reported below reflect the proportion of the 47 included studies in which each theme, technology, barrier or benefit was identified during coding. Results: The most prominently reported AI approaches in the studies were Machine learning (51.1%), precision farming (48.9%) and computer vision (46.8%). Developed economies demonstrated advanced integration of precision agriculture and automation. Developing economies mainly use AI for disease detection, crop monitoring and yield forecasting. The most common challenges reported were the high cost of implementation (38.3%), limited infrastructure (36.2%) and poor data quality (31.9%). The most frequently reported benefits were improved crop yields (61.7%), better resource use efficiency (51.1%) and more effective disease management (46.8%). These percentages show how many studies reported each benefit, but they do not indicate the actual level of improvement achieved. Conclusion: Overall, the findings suggest that the adoption of AI depends not only on the availability of technology but also on infrastructure readiness, supportive policies and strong institutional capacity. This review highlights the need for context-specific strategies, greater investment in rural digital infrastructure and inclusive innovation frameworks to support fair and sustainable agricultural development.
Determination of Land-use-specific Greenhouse Gas Emissions Contribution in Nigeria Sani Idris; Aisha Abdulkadir; Halima Mohammed Lawal; Habibu Ismail
Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAES) Vol. 2 No. 2 (2026): Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAE
Publisher : CV. Truly Science Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65896/ijsaes.v2i2.39

Abstract

Background: Climate change (CC) is a threat to humanity due to the rise in global warming as a result of increased concentrations of emitted greenhouse gases (GHGs). Proper GHG emission accounting has been either lacking or grossly uncertain in Nigeria and Africa. Aim: This work addresses this gap by identifying four dominant land uses (LUs) in the agricultural sector to quantify fluxes of carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4) gases using the static chamber technique. Methods: The research was carried out in Northern Guinea Savannah (NGS) during the wet and cold dry seasons of 2025/2026. Cropland (maize/cowpea), plantation (mango), grasscover (Digitaria smutsii) and animal paddock (cattle pen) were selected as treatments and four static chambers were installed in each as observation points. Gas sample collection was performed weekly across wet and dry seasons (WS and DS), using a 10-mL syringe and gas-free pressurized vials. The design involved a Randomized Complete Design using four replications and the collection of four gas samples at 0, 15, 30 and 45 minutes intervals per measurement event. The GHGs were determined using SKY-2000-M infrared gas sensors. Flux calculation was performed in excel where only values with rsq above 0.85 were considered. Q-Q and residual plots were used as data normality checkers before proceeding with statistical analyses. Soil moisture and weather parameters were monitored in-situ to the completion of the experiment. Soil samples were appropriately collected at 0 – 15 cm, processed and analysed following standard protocols to compare the LUs. Datasets were analysed by Analysis of Variance and Least Significant Difference by Agricole function using R 4.4.2. Results: Results indicate that animal paddock and cropland emitted significantly higher CO2-C relative to plantation and grasscover in WS. During the DS, the animal paddock and plantation showed higher CO2-C. Animal paddock consistently emitted the highest N2O-N in both seasons, while grasscover served as a net sink during the DS. Similarly, CH4-C flux varied significantly among the land uses in both seasons, with animal paddock and plantation being the greatest and lowest CH4-C emitters, respectively. Soil characteristics measured were significantly at variance among the LUs. Notably, the soil reaction of all the LUs falls within the slightly acidic (6.53) to near neutral (6.72) pH, except the animal paddock, which was strongly alkaline (8.47). For organic carbon (OC), and total nitrogen (TN) nutrients, the animal paddock recorded the highest: 56.12 and 4.11 g kg – 1, while cropland recorded the lowest: 4.01 and 0.711 g kg – 1, respectively.  Results of the available P, K+ and Ca2+ were 12.3, 33.5 and 7.12 folds greater in the animal paddock compared with the cropland, respectively. Conclusion: In NGS Nigeria, the animal paddock is the most prominent emission hotspot with the greatest global warming potential implication compared to other agricultural LUs. The animal paddock has demonstrated excessive nutrient accumulations. Integration of cow dung into organo-mineral fertilizer and research on soil biochemistry are highly recommended.

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