Agriculture and Natural Resources

Agriculture and Natural Resources Agriculture and Natural Resources is a peer reviewed international scientific journal, produced and

Aims and scope:
Agriculture and Natural Resources is a peer reviewed international scientific journal which publishes papers in the categories of review articles, research articles and short communications and technical notes from all areas related to biological science and agriculture. It covers original, previously unpublished research regarding any theories and practices that are related to ag

ricultural applications. Submitted articles will be examined by a scientific committee and anonymous evaluators and published every two months in HTML and PDF formats (January, March, May, July, September, and November). The following areas are covered in the Journal: Agriculture and Natural Resources Production and hosting by Elsevier on behalf of Kasetsart University
• Agricultural science
• Animal science and aquaculture
• Biodiversity and evolution
• Environment and ecology
• Food science
• Forestry
• Genetics and breeding
• Microbiology
• Plant science
• Soil science
• Veterinary science
• Agricultural applications in physical science, engineering and computational science

All manuscripts must be consistent with the Journal’s manuscript preparation requirements.

🚨 New Research Alert! 🌾🌦️Optimizing drought and crop yield monitoring in Vietnam’s Srepok River basin 🇻🇳Drought is a ser...
19/08/2025

🚨 New Research Alert! 🌾🌦️
Optimizing drought and crop yield monitoring in Vietnam’s Srepok River basin 🇻🇳

Drought is a serious natural disaster that harms crop yields. This study identified the best meteorological drought and vegetation indices for monitoring drought and predicting yields of coffee and rice — key crops in the basin.

📘 Article title: Determining suitable meteorological drought and vegetation indices for monitoring drought and crop yield in Srepok River basin, Vietnam
📚 Journal: Agriculture and Natural Resources (formerly Kasetsart Journal: Natural Science)
🗂️ Volume 59, Issue 2, Mar–Apr 2025
📄 Article No.: 590209
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.2.09

🔍 Highlights:
• 🌦️ SPI outperformed EDI in linking drought to crop yields
• 🌱 VHI, TCI, VCI correlated well with meteorological drought indices
• 🕐 SPI6–VHI best for drought monitoring in dry season (Feb–May)
• ☕ SPI5 (9 months before harvest) effective for coffee yield forecasting
• 🍚 SPI5 (3 months before harvest) effective for rice yield forecasting

🚨 New Research Alert! 🥚🔬Non-destructive whole-egg freshness inspection! 🍳📸This study develops a novel method to inspect ...
15/08/2025

🚨 New Research Alert! 🥚🔬
Non-destructive whole-egg freshness inspection! 🍳📸
This study develops a novel method to inspect egg freshness by analyzing yolk movement speed using image processing combined with traditional candle testing. Faster yolk movement indicates aging eggs, enabling full batch inspection without damage — promising for food manufacturing quality control.

📘 Article title: Non-destructive method for whole-egg freshness inspection in food manufacturing
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 1, Jan–Feb 2025
📄 Article No. 590105
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.1.05

🔍 Highlights:
🥚 Yolk movement speed increases as eggs age
📸 Image processing integrated with candle testing
⚙️ Enables full, non-destructive batch inspection
✅ Verified against benchmark methods
🏭 Suitable for food manufacturing integration

🚨 New Research Alert! 🌾🦠Bacteria fighting rice blast & cleaning pesticides! 🌱🛡️♻️This study identifies 13 rhizosphere ba...
12/08/2025

🚨 New Research Alert! 🌾🦠
Bacteria fighting rice blast & cleaning pesticides! 🌱🛡️♻️
This study identifies 13 rhizosphere bacterial isolates with strong antagonistic effects against Pyricularia oryzae (rice blast disease), plus abilities to promote plant growth and degrade harmful organophosphate pesticides. These Bacillus and Brevibacillus species offer an eco-friendly, integrated solution for sustainable rice farming.

📘 Article title: Plant growth-promoting bacteria for biological control of Pyricularia oryzae causing rice blast disease and biodegradation of organophosphate pesticide
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 3, May–Jun 2025
📄 Article No. 590314
🔢 ISSN: 2452-316X (0075-5192)

🔍 Highlights:
🦠 13 bacterial isolates inhibit >90% rice blast fungus growth
🌿 Promote plant growth via IAA, nitrogen fixation, phosphate solubilization, & more
♻️ Efficient degradation of organophosphate pesticides
🧬 Identified as Bacillus and Brevibacillus species
🌾 Sustainable rice disease control and pesticide management

🚨 New Research Alert! 🥩📸Advanced image processing for beef quality! 🍖🔍This study applies image processing software (IPS)...
12/08/2025

🚨 New Research Alert! 🥩📸
Advanced image processing for beef quality! 🍖🔍
This study applies image processing software (IPS) to assess ribeye steak marbling, showing strong correlations with intramuscular fat (IMF) and carnosine content (CC). IPS also outperforms standard colorimetry in detecting muscle color variations, making it a promising tool for beef quality prediction and marbling evaluation in the meat industry.

📘 Article title: Application of image processing software for ribeye steak marbling assessment and its correlations with beef quality attributes
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 3, May–Jun 2025
📄 Article No. 590301
🔢 ISSN: 2452-316X (0075-5192)

🔍 Highlights:
📸 Image processing software (IPS) for marbling quantification
🥩 Strong correlation of fat area (FA) with intramuscular fat and carnosine content
🎨 Better muscle color assessment than traditional colorimetry
🔬 Applicable for beef quality prediction and marbling scale development
🐄 Tested on Wagyu, Angus, and crossbreeds

🚨 New Research Alert! 🍄🏡Fungi to the rescue for green building! 🌿🌡️🔇This study explores the potential of grey oyster mus...
06/08/2025

🚨 New Research Alert! 🍄🏡
Fungi to the rescue for green building! 🌿🌡️🔇
This study explores the potential of grey oyster mushroom mycelium as a sustainable material for sound absorption and thermal insulation in hot and humid climates. Prototypes grown on agricultural waste — with NRC = 0.43 and k-value = 0.065 W/mK. Fire-retardant, eco-friendly, and made outside a lab! 🔥✅

📘 Article title: Potential of mushroom mycelia for sound absorption and thermal insulation in hot and humid climates
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 2, Mar–Apr 2025
📄 Article No. 590203
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.2.03

🔍 Highlights:
🍄 Developed mycelium-based panels from Pleurotus ostreatus
🌡️ Effective insulation with k-value = 0.065 W/mK
🔇 Sound absorption performance NRC = 0.43
🔥 Fire-retardant and eco-safe for construction use
♻️ Grown on agri-waste with minimal environmental control

🚨 New Research Alert! 🌾🧪Unveiling rice metabolism during growth stages with GC-MS profiling 🌿🔬This study analyzed ethano...
04/08/2025

🚨 New Research Alert! 🌾🧪
Unveiling rice metabolism during growth stages with GC-MS profiling 🌿🔬
This study analyzed ethanol extracts of rice leaves (Oryza sativa) to explore metabolite changes at 3 and 5 weeks of growth. Using GC-MS, researchers identified dynamic shifts in chlorophyll degradation products—especially phytol and VOCs—revealing critical insights into rice physiology that could support future breeding for stress resilience and yield optimization 🌱📈

📘 Article title: Uncovering metabolite changes in rice leaves (Oryza sativa) during vegetative stages through GC-MS-based ethanolic extract analysis
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 3, May–June 2025
📄 Article No. 590312
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.3.12

🔍 Highlights:
🌿 Monitored metabolite shifts in IR50404 and Huyet Rong rice varieties
🧬 Phytol and DEHP were dominant compounds during vegetative stages
📉 Chlorophyll levels decreased significantly from week 3 to 5
🧪 GC-MS data supports proposed pathway for chlorophyll catabolism into phytol, vitamin E, and fatty acid derivatives

🚨 New Research Alert! 🔥🌱Turning agricultural waste into energy! ♻️⚙️This study simulates and experiments with dry torref...
01/08/2025

🚨 New Research Alert! 🔥🌱
Turning agricultural waste into energy! ♻️⚙️
This study simulates and experiments with dry torrefaction of palm empty fruit bunch (PEFB) to produce biocoal—an energy-dense, sustainable alternative fuel. Using Aspen Plus, the research modeled optimal production conditions and evaluated economic feasibility. At 300°C, the process yielded over 56% char, proving PEFB a promising feedstock for biocoal energy 🌾💡

📘 Article title: Simulation and experimental study of biocoal production via dry torrefaction of palm empty fruit bunch (PEFB)
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 1, Jan–Feb 2025
📄 Article No. 590101
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.1.01

🔍 Highlights:
🌡️ Optimal torrefaction at 300°C gave 56.13% char yield
🔬 Simulation with Aspen Plus for energy and cost analysis
💰 Estimated capital investment: 20.38 M USD for 20-year operation
🌾 PEFB confirmed as a viable biomass for sustainable biocoal

🚨 New Research Alert! 🌿📊Detecting soybean disease severity with hyperspectral data and machine learning 🌈🧠This study exp...
30/07/2025

🚨 New Research Alert! 🌿📊
Detecting soybean disease severity with hyperspectral data and machine learning 🌈🧠
This study explored the use of hyperspectral reflectance data and Orange Data Mining software to classify the severity of frogeye leaf spot (FLS) in soybean. After applying filtering and feature selection techniques, a neural network model achieved a stunning 98.6% accuracy 🌟📈—proving the power of no-code visual programming for crop health monitoring.

📘 Article title: Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange data mining
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 2, Mar–Apr 2025
📄 Article No. 590201
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.2.01

🔍 Highlights:
🌱 Used hyperspectral remote sensing for soybean disease detection
🧪 Applied Savitzky-Golay filter and ReliefF feature selection
🤖 Neural network reached 98.6% classification accuracy
🟧 Demonstrated effective use of Orange visual programming for ML

🚨 New Research Alert! 🧫🧬Salt-tolerant Trichoderma in action! 🌱💧This study explored the salt-stress response of Trichoder...
29/07/2025

🚨 New Research Alert! 🧫🧬
Salt-tolerant Trichoderma in action! 🌱💧
This study explored the salt-stress response of Trichoderma spp., revealing that T. asperellum V6.1 maintained strong antagonism against Rhizoctonia solani even under high salinity (3% NaCl) 🧪⚔️. Transcriptomic analysis uncovered 542 differentially expressed genes, shedding light on the molecular mechanisms behind salt adaptation—paving the way for sustainable biocontrol in saline-affected agriculture 🌾🔬

📘 Article title: Morphological characteristics and transcriptome analysis of salt-tolerant Trichoderma sp. responding to salt-stress conditions
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 3, May–June 2025
📄 Article No. 590305
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.3.05

🔍 Highlights:
🧬 Identified T. asperellum V6.1 as the most salt-tolerant strain
⚔️ Maintained biocontrol activity under saline stress
📊 Transcriptome analysis revealed 542 differentially expressed genes
🌱 Potential application in saline-affected farmlands

🚨 New Research Alert! 📦🤖Predicting compression strength of RSC corrugated fiberboard boxes using Artificial Neural Netwo...
29/07/2025

🚨 New Research Alert! 📦🤖
Predicting compression strength of RSC corrugated fiberboard boxes using Artificial Neural Networks (ANN) for smarter packaging design 🧠📊
This study developed a BPN neural network model using 17 material and design parameters from 630 samples, achieving an impressive prediction accuracy with R² = 0.982—significantly better than traditional McKee’s formula (R² = 0.737) 📈✨. Key factors affecting box strength included flute type, liner grammage, and box dimensions.

📘 Article title: Compression Strength Prediction of RSC Corrugated Fiberboard Boxes by Artificial Neural Network using Multiple Materials and Design Parameters
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 2, Mar–Apr 2025
📄 Article No. 590205
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.2.05

🔍 Highlights:
📦 Developed a highly accurate ANN model for box compression strength prediction
⚙️ Identified key material and design parameters influencing strength
🚀 Model outperformed conventional McKee’s formula by a large margin
📏 Important factors: flute type, liner grammage, box height and length

🚨 New Research Alert! 🐛🌿Enhancing control efficiency against the fall armyworm, Spodoptera frugiperda, with a novel plan...
29/07/2025

🚨 New Research Alert! 🐛🌿
Enhancing control efficiency against the fall armyworm, Spodoptera frugiperda, with a novel plant extract mixture 🌱✨
This study developed a binary formula using Piper retrofractum and Cyperus rotundus extracts that achieved up to 98% mortality ⚡💥 while significantly reducing the required doses, lowering production costs and promoting sustainable pest management 💚♻️

📘 Article title: Enhancing the control efficiency of plant extracts against Spodoptera frugiperda (Lepidoptera: Noctuoidea) through mixture formula development
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 1, Jan–Feb 2025
📄 Article No. 590109
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.1.09

🔍 Highlights:
🌿 Developed a plant extract mixture to improve insecticidal efficacy
⚡ Achieved 98% larval mortality with lower extract doses
💰 Reduced production costs of botanical insecticides
🌎 Eco-friendly and sustainable pest control approach

🚨 New Research Alert! 🔬📢🌱 Boosting sugarcane yields under drought! 💧🥤This study compared growth rates and yield componen...
21/07/2025

🚨 New Research Alert! 🔬📢
🌱 Boosting sugarcane yields under drought! 💧🥤
This study compared growth rates and yield components across sugarcane genotypes under early drought and recovery. Key finding? Height growth rate (HGR) during the recovery phase is critical for selecting drought-tolerant lines like F03-362, KK09-0358, and KK3 — offering breeders a promising strategy for resilient cane production. 🌾☀️

📘 Article title:
Differential performance in height growth rate and yield components to enhance cane yields of various sugarcane types during early drought and post-recovery

📚 Journal: Agriculture and Natural Resources
🗂️ Vol. 59, Issue 1 (Jan–Feb 2025)
📄 Article Number : 590107
🔢 ISSN: 2452-316X (🖨️ Print: 0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.1.07

🔍 Highlights:
✔️ Early drought stress reduced yield, stalk length, and millable cane
✔️ F03-362, KK09-0358, and KK3 identified as drought-tolerant
✔️ Height growth rate (HGR) during recovery improved cane yield
✔️ High millable cane number and plant height = key traits for resilience
✔️ Findings support sugarcane breeding for drought tolerance

ที่อยู่

Kasetsart University Research And Development Institute (KURDI) Kasetsart University, 50 Ngam Wong Wan Road, Chatuchak.
Bangkok
10900

เวลาทำการ

จันทร์ 09:00 - 17:00
อังคาร 09:00 - 17:00
พุธ 09:00 - 16:00
พฤหัสบดี 09:00 - 16:00
ศุกร์ 09:00 - 16:00

เว็บไซต์

แจ้งเตือน

รับทราบข่าวสารและโปรโมชั่นของ Agriculture and Natural Resourcesผ่านทางอีเมล์ของคุณ เราจะเก็บข้อมูลของคุณเป็นความลับ คุณสามารถกดยกเลิกการติดตามได้ตลอดเวลา

ติดต่อ ธุรกิจของเรา

ส่งข้อความของคุณถึง Agriculture and Natural Resources:

แชร์