Vol. 6, No. 1 (2026)
Table of Contents
Digital Twin Technology for Precision Crop Management of Oryza sativa L. under Variable Climate Conditions
Dr. Samuel Okoro, Dr. Joseph Adeyemi
Abstract: Rice (Oryza sativa L.) accounts for more than half of the food needs of the world’s population; however climate changes, irregular rainfall, and water scarcity threaten crop yields in the major rice-producing areas. The Digital Twin (DT) technologies that combine synchronized me...
Explainable Artificial Intelligence (XAI) Models for Yield Prediction and Disease Forecasting in Zea mays L.
Dr. Carlos Ali, Dr. Lucas Minh Anh, Dr. Rafael Van Nam, Dr. Gabriel Lan
Abstract: Background: Maize (Zea mays L.) is a cereal crop of strategic importance for global food, feed and bioenergy security, but its productivity is highly susceptible to climatic variability, soil heterogeneity and recurrent foliar and stalk diseases. Traditional machine learning (ML) meth...
Multi-Omics Integration (Genomics, Transcriptomics, Proteomics, and Metabolomics) for Improving Nitrogen Use Efficiency in Triticum aestivum L.
Dr. Tran Quang Huy
Abstract: Background: Wheat (Triticum aestivum L.) is known as a basic food crop whose productivity relies heavily on nitrogen (N) fertilization, but a significant amount of used N is not absorbed by the crop. This results in inefficiency and environmental damage. Consequently, improving nitrog...
Deep Reinforcement Learning-Based Autonomous Irrigation Scheduling for Sustainable Field Crop Production
Dr. Muhammad Firdaus Ismail
Abstract: Background: Water scarcity and poor irrigation scheduling remain a major limitation for sustainable production of field crops globally. Conventional irrigation scheduling methods that rely on fixed intervals or simple soil moisture threshold levels often ignore the dynamic interaction...
Integration of Internet of Things (IoT), UAV Remote Sensing, and GIS for Site-Specific Nutrient Management in Precision Agriculture
Dr. Michael Anderson, Dr. Emily Roberts
Abstract: Background: Fertilizer management has traditionally been based on uniform application of fertilizers across fields despite substantial spatial variation in soil fertility. This causes problems on fertilizer use efficiency, production costs and the environment such as nitrate leaching,...
CRISPR/Cas9-Mediated Gene Editing for Salinity Tolerance in Triticum aestivum L.
Dr. Oliver Smith, Dr. Harry Williams, Dr. George Taylor, Dr. Jack Brown, Dr. Noah Wilson
Abstract: A new technology in accurate farming is making use of drone-aircrafts and variable-rate tech, helping to provide better application of fertilizers and obtain greater nutrient-use efficiency (NUE) results in growing soya crops. The recent study showed the advantages of application of n...
Digital Phenotyping and Machine Vision for Early Detection of Diseases in Solanum lycopersicum L. under Protected Cultivation
Dr. Daniel Lewis
Abstract: Background: Tomato (Solanum lycopersicum L.) is one of the most commercially viable plants, but it is very vulnerable to fungal, bacterial, and viral diseases, which can negatively affect the yield and quality of produce. Traditional scouting relies on visual methods, which need a lot...
Metabolomic Profiling of Salt Stress Responses in Oryza sativa L. Using LC-MS/MS and GC-MS Analysis
Dr. Sneha Kulkarni, Dr. Vivek Reddy 2, Dr. Anjali Patel, Dr. Karan Singh, Dr. Neha Joshi
Abstract: Background: Soil salinization poses a threat to rice (Oryza sativa L.) productivity in coastal and irrigated lowland agro-ecosystems threatening food security of billions of people depending on rice as a dietary staple. Physiological and molecular studies have revealed ion-transport a...
CRISPR/Cas12a-Mediated Genome Editing for Enhanced Nitrogen Use Efficiency in Brassica juncea (L.) Czern.
Dr. Zhang Ming, Dr. Ruth Wanjiku
Abstract: Background: Brassica juncea (L.) Czern., better known as Indian mustard, is an oilseed and condiment crop that is grown worldwide and needs a large amount of synthetic nitrogen (N) fertilizer in order to continue to produce high yields. The efficient use of nitrogen (NUE) without resu...
Soil Microbiome Engineering through Synthetic Microbial Consortia for Sustainable Production of Triticum aestivum L. under Climate Change Scenarios
Dr. Gabriel Santos, Dr. Ahmed El-Sayed, Dr. Mohamed Hassan, Dr. Omar Khaled
Abstract: Background: Wheat (Triticum aestivum L.) is one of the foods crucial for ensuring food security worldwide but is faced with changes such as temperature rise, water scarcity, and an increase in COâ‚‚ levels that threaten crop yield stability. Soil microbiome engineering especially...