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International Journal on Food, Agriculture and Natural Resources (IJFANRES)
Published by FANRes-Network
ISSN : -     EISSN : 27224066     DOI : https://doi.org/10.46676/ij-fanres
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
IJ-FANRes is an international and cross-disciplinary scholarly and scientific open access, open-source journal on the science and technology of Food, Agriculture, and Natural Resources. Our aim is to encourage Professors, Researchers, and Students to publish their experimental and theoretical research, along with the full set of schematics, and methodological aspects to accelerated and rapid dissemination of leading edge technologies emerging in Food, Agriculture, and Natural Resources. The journal publishes original research and review papers. Particularly the journal is focused on the following areas: • Food Engineering and Processing • Microbiology • Industrial crops and Products • Sensors, instrumentation / Internet of Things(IoT) • Modelling / Optimization • GIS / Remote Sensing • Artificial Intelligence / Machine Learning • Spectroscopy • Contamination mitigation and prevention • Irrigation • Agronomy • Socio-Economics • Supply/Value-Chain • Food, feed and fiber process Other areas not mentioned above also accepted as long as they provide Science and technology solutions supporting the fields of Food, Agriculture, and Natural Resources.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 255 Documents
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Vegetative Growth Responses to Applications of Compost from Biomass of the Same and Different Crop Species and in Vitro Test of Self-DNA Effects Sari, Retno Purnama; Santosa, Dwi Andreas; Sudadi, Untung
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.572

Abstract

Returning-back unharvested crop biomass into soil which is intended to maintain soil fertility status is now facing a challenge concerning self-DNA negative impacts related to the application of compost prepared from biomass of the same crop species at certain compost maturity stage. This study aimed at to evaluate the application effects of composts prepared from biomass of the same and different food crop species with different composting periods on the vegetative growth of rice, maize, and string beans and of DNA extracts from the applied composts on seed germination of the studied crops. The experiment applied CRD with 10 treatments [control, k (compost materials): rice (P), maize (J), and string beans (K) biomass, and composting periods: 0, 30, and 90 d]. DNA was isolated by the modified CTAB method. The results showed that application of mature compost supported the vegetative growth of the test crops, while kP30 and kJ30 treatments, stands respectively for the application of 30 days-composted rice and maize biomass, showed inhibitory effect to the vegetative growth of the same species (rice or maize compost applied to rice or maize cropping). However, in vitro self-DNA inhibition effect was inconsistent and therefore considered not occurred in this experiment.
Marketing Strategy Analysis of Smoothie Chips Product Rusdianto, Andrew Setiawan; Suryaningrat, Ida Bagus; Guntoro, Doni
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.565

Abstract

The marketing strategy evaluation of smoothie chips was conducted using a SWOT analysis and marketing mix benchmarking (4P) on two main comparison brands, namely Fitbar and Soyjoy, in Sumbersari District, Jember Regency. The main objectives of this study were to identify internal-external factors, analyze the product's competitive position in the dimensions of product, price, distribution, and promotion, and formulate appropriate marketing strategy recommendations. The research method used a qualitative approach (IFAS-EFAS) and quantitative (benchmarking) with a Likert scale questionnaire instrument (1-5) for 100 respondents. The instrument was declared valid and reliable with a Cronbach's α value > 0.70. The analysis results showed an IFAS value of 2.60 and EFAS of 2.85, which placed smoothie chips in the aggressive strategy quadrant. The product stands out in the indicators of natural ingredients (0.338) and uniqueness (0.329), but still lags behind in the aspects of visuals, taste, availability, and intensity of digital promotion. The SWOT analysis and benchmarking recommend implementing an aggressive strategy focused on strengthening brand image through storytelling and influencer collaboration, expanding multichannel distribution, enhancing sensory and packaging quality, and employing a penetration pricing strategy with multipack packaging. Given that the product is still a prototype, these findings are evaluative of initial market perception and require further verification through test marketing.
Building Better Seeds for Tanzania: A Comprehensive Review of the National Seed Systems Mwanambuu, Daudi; Elias, Scholastica; Detto, Francis; Ahmad, Mwichande
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.581

Abstract

The Tanzanian seed industry is a critical pillar for achieving national food security and driving agricultural transformations. The industry is primarily dominated by the informal sector which accounts for over 80%. The formal seed system, though in the growing phase, accounts for only a short of 20% of the total national’s seed demand. Despite notable progress in policy reforms and private sector growth, the industry is constrained by inadequate early-generation seed(EGS) supply, weak distribution networks, high seed costs, and the persistent presence of counterfeit seeds. This review synthesizes the current structure of the seed system, analyses key policies and regulatory frameworks, and evaluates the principal challenges and opportunities for escalating improved seed availability, accessibility and utilization. Future growth hinges on effective implementation of the new seed sector strategy, targeted investments in public-private partnerships (PPPs) for breeding and production, and the full operationalization of harmonized regional seed trade protocols.
Evaluation of the Pollen Production Potential of Local Honeybee Races in Waghimra, Ethiopia Desale, Ertiban; Girmay, Ayalew; Lemma, Meresa; Tsegaye, Agazhe; Ibrahim, Yesuf; Bezabh, Amsalu; Bareke, Tura; Alene, Mulugeta
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.577

Abstract

Bee pollen is an essential protein source for honeybee (Apis mellifera) colonies and a valuable nutritionally rich product for human consumption. This study evaluated the pollen production potential of local honeybee races and examined the effects of pollen harvesting on colony resources across three agro-ecological zones (highland, midland, and lowland) in Waghimra, Ethiopia. Thirty healthy colonies were selected in each agro-ecological zone and divided into pollen-trapped and non-trapped (control) groups. Pollen was collected weekly during peak flowering periods, and colony performance parameters, including adult bee population, brood area, nectar stores, and pollen stores, were measured using standard estimation methods. The results showed that colonies in the highland produced significantly higher mean pollen yields (102.81 ± 11.17 g/month/hive) than those in the midland (72.80 ± 5.84 g/month/hive) and lowland (69.68 ± 7.21 g/month/hive) agro-ecologies (p < 0.05). Pollen yield was also significantly higher in the first study year compared to the second year (p < 0.05). Pollen harvesting significantly reduced stored pollen area but did not significantly affect adult bee population, brood development, or nectar stores. The findings indicate that moderate pollen harvesting during peak flowering periods can be practiced without compromising colony performance. Highland agro-ecological conditions provide favorable environments for sustainable pollen production and improved apiculture productivity in Waghimra, Ethiopia.
The Effect of Differences in Variety and POC on The Growth and Production of Sunflowers (Helianthus Annuus. L) Fitriyani, Desy; Kany, Putri Irene; Budiman, Budiman
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.573

Abstract

This study used a completely randomized block design (CRBD) consisting of two factors. Factor I included the Kanigara variety (V1), the Helina variety (V2), and the BM1 variety (V3). Factor II consists of control POC concentration (P1), POC concentration of 9 ml/L (P2), POC concentration of 12 ml/L (P3), and POC concentration of 15 ml/L (P4). The parameters observed for plant growth were plant height (cm), number of leaves (sheets), stem diameter (cm), leaf area (cm2), and flowering age (DAP). The parameters observed for production were flower diameter (cm), harvest age (DAP), total seed weight per plant (g), weight of 100 seeds (g), wet husk weight (g), and dry husk weight (g). The Kanigara variety was the best in terms of plant height, leaf area, flower diameter, and seed weight per plant. The Helina variety was the best in terms of number of leaves, flowering age, and harvest age, while the BM1 variety was the best in terms of stem diameter, weight of 100 seeds, and wet and dry husk weight. POC at 0 ml/L had a significant effect on all growth and production parameters. A significant interaction between variety and POC was found in wet and dry seed weight, with the highest results observed in the BM1 variety at 0 ml/L POC.
Evaluation of proximate composition and sensory attributes of composite porridge from finger millet, common beans and carrot flour Feyera, Milkesa
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.566

Abstract

Porridge made solely from finger millet does not have better nutritional value. Nutritious and acceptable porridge can be developed by combining finger millet with protein-rich crops like common beans and those high in minerals and vitamins, such as carrots. This study is aimed to develop composite porridge using  flour prepared from finger millet, common bean, and carrot.  Formulation is computed using the D-optimal mixture design, in which 8% of malted finger millet and 15% of carrot were added to the formulation as fixed levels for enhancement of  sensory attributes. The standardized official methods were utilized to evaluate the proximate composition and sensory attributes of developed porridge. The result showed that moisture, ash, protein, crude fat, crude fiber, and utilizable carbohydrate content of composite porridge in percentages were ranged from 9.84±0.07 to 10.6±0.29, 2.82±0.04 to 3.45±0.03, 8.33±0.05 to13.17±0.04, 1.39±0.01 to 1.89±0.01, 8.07±0.05 to 8.86±0.11, 64.24±0.15 to 67.95±0.31, respectively. The present study also found that the color and aroma attributes for finger millet based composite porridge were improved by inclusion of common beans, carrot and sprouted finger millet. Furthermore, texture, and taste did not show significant differences among the composite porridges. According to results of sensory attributes, composite porridge  composed  of 8% malted finger millet, 70% un-malted finger millet, 7% common bean, and 15% carrot was highly preferable over the other formulations. Incorporating common beans and carrot to finger millet is recommended in the production of composite porridge with improved  nutrients and sensory qualities.
Machine Learning Algorithms for Integrating IoT Sensor into a Smart Irrigation system Kgopa, Alfred Thaga; Monchusi, Baakanyang Bessie
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.511

Abstract

Water management is a critical challenge in agriculture, particularly for small-scale farms that face resource limitations and unpredictable environmental conditions. Smart irrigation technologies that integrate the Internet of Things (IoT) and machine learning offer significant solutions in enhancing water efficiency and boosting crop production. This study investigates the synergistic application of IoT-enabled sensors alongside machine learning methodologies, specifically Decision Trees (DT) and Support Vector Machines (SVM), to augment irrigation effectiveness. Real-time sensor data collection, featuring elements like soil moisture, temperature, and humidity, serves to direct irrigation techniques. The proposed utilizes solution supervised learning techniques to establish optimal irrigation timetable and reinforcement learning to modify decisions based on real-world performance. Preliminary findings suggest that SVM outperforms DT in reducing false positives and negatives, leading to more precise irrigation control. The study underlines the benefits of AI-driven irrigation system, such as enhanced water conservation, higher crop yields, and increased sustainability. Furthermore, the difficulties of establishing IoT-based irrigation systems, such as data security, connectivity constraints, and cost considerations, are addressed. The findings add to the literature of precision agriculture and provide useful insights for small-scale farmers who are willing to implement smart irrigation solutions. The study's goal is to enhance efficient water use, strengthen food security, and support sustainable farming methods by combining IoT and AI. To get the most out of AI-powered irrigation systems, future research should focus on enhancing algorithm accuracy, expanding real-world trials, and tackling scalability challenges.
Effect of supplementary feeding on honeybee colonies performance in Wag-Lasta area, North-Eastern Ethiopia Girmay, Ayalew; Lema, Meresa; Tsegaye, Alemu; Ebrahim, Yesuf; Desale, Ertiban
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.578

Abstract

Honey bees need pollen and nectar to survive, and strong colonies before colony buildup season require proper feeding to support brood development. This study evaluated the impacts of supplements with varying protein content on colony performance, brood rearing, and honey production. Sixteen colonies were divided into four groups: three treatments and one control, each with four replicates. Treatments included Acacia pod flour: pollen (9:1 w/w), pea flour: pollen (9:1 w/w), and a mix of Acacia pod and pea flour: pollen (9:1 w/w); the control group received no supplementation. Feed was given in feeder supper box hives and measured every 7 days, with intake and refusal recorded. Hive resources such as pollen, nectar, brood space (cm2), adult bees, and honey were assessed using a frame-sized grid meter at the Gazgibilla apiary research site. Feed types were selected through palatability testing. The mixture of Acacia pod and pea flour had the highest consumption (243.19 g/day), brood area, pollen area, nectar area, colony size (frames covered with bees), and honey yield (35 kg/colony). The control group had the lowest values on all measures. Supplementary feeding increased honeybee populations and improved colony performance during dearth periods. The author recommends the commercial use of the Acacia and pea diet mix for sustained colony growth during the dearth periods.
Effects of Regulated Deficit Irrigation on Yield and Yield Components of Capsoly Bean Baghlani, Abdul Wahid; Saidi, Amirjan; Sarhadi, Wakil Ahmad; Haidari, Mohammad Daud
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.574

Abstract

Common bean (Phaseolus vulgaris L.) is a key protein source but is limited by water stress. Water scarcity, worsened by climate change, particularly affects arid regions like Afghanistan. A two-year field experiment at Kabul University tested five irrigation treatments: full irrigation (CFI), deficit at vegetative (VD), flowering (FD), pod formation (PD), and grain-filling (GD) stages. Deficit irrigation during flowering and pod formation significantly reduced pod number, pod length, grains per pod, 100-grain weight, and yield, while deficits at vegetative and grain-filling stages had minimal effects. These findings indicate that common bean tolerates water stress during vegetative and grain-filling periods, but is sensitive during flowering and pod formation, highlighting the importance of irrigation timing for maximizing yield.
The Potency of Streptomyces spp. from Shallot Land as Entomopathogen of Onion Caterpillar Pest Spodoptera exigua Pratista, Ariq Dies; Windriyanti, Wiwin; Suryaminarsih, Penta; Mujoko, Tri; Indrawan, Arga Dwi; Harsiyanti, Harsiyanti
International Journal on Food, Agriculture and Natural Resources Vol 6, No 4 (2025): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i4.569

Abstract

Spodoptera exigua is a major pest of shallots (Allium ascalonicum L.), capable of causing up to 100% yield loss if uncontrolled. Streptomyces sp. is a soil-dwelling Actinomycetes bacterium that can be used to control S. exigua. This study aimed to determine the potential of Streptomyces spp. isolates from shallot fields as an entomopathogen against S. exigua. The research employed a Factorial Complete Randomized Design (CRD). The first factor consisted of one Streptomyces spp. isolate obtained from the Pare-Kediri region (BMP) and three isolates from Sidera-Palu (BMS1, BMS2, and BMS3). The second factor was the concentration of the Streptomyces sp. suspension consist of 0%; 5%; 10%; and 15% with three replication per treatment (48 units total). Data on larval mortality and damage intensity were analyzed using RStudio via ANOVA and DMRT (α=5%). The BMP (15%) treatment demonstrated the highest efficacy, achieving 76.67% larval mortality while maintaining the lowest damage intensity of 0.20% on shallot plants. These results highlight BMP isolate at 15% concentration as the most promising biocontrol agent and support its further field evaluation as a sustainable alternative to chemical insecticides.

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