Research & reports

Young-Tak Kim, Ke Han, Woo-Hyun Yoo · Industrial Study of Innovation Management · Global

This study aimed to analyze the concepts and characteristics of agricultural-ICT convergence technology and urban agriculture, and to propose development directions and policy implications by reviewing successful cases and related policies in developed countries. The research results indicate that agricultural-ICT technology convergence creates significant synergy effects, and the combination of urban agriculture and IT technology is expected to promote the development of the next-generation 6th industry. Furthermore, this technology supports the scientific advancement of agriculture and livestock farming, and is widely utilized in activating new distribution channels centered on local food and direct transactions.

Belghachi Mohammed · Advances in environmental engineering and green technologies book series · Global

Smart irrigation systems, integrating AI, machine learning, sensors, and IoT, aim to revolutionize agricultural water management by optimizing water usage tailored to crop needs and environmental conditions. While these systems offer benefits such as water conservation and improved yields, their implementation faces significant challenges including high costs, the need for technical expertise, data management complexities, and connectivity issues. Future prospects focus on advanced AI models, better sensors, renewable energy, and policy support to enhance the effectiveness and accessibility of these systems.

Nagwa Babiker Abdalla Yousif, Shadia Abdel Rahim Mohammed, Enaam Youssef, S. Behari · Sustainability · Sudan (Khartoum State)

An interview study was conducted with 100 female farmers in Omdurman’s Algamwai area, Khartoum State, Sudan, from 2022 to 2023. This research examined the intersection of gender, technology, and socioeconomic equity in digital urban agriculture. It showed that despite structural inequalities, including 45% restricted land ownership, 5% limited credit access, and inadequate extension services, female farmers are driving innovation and sustainability. Digital urban agriculture provides income opportunities (76% rely on it) and serves as a platform for equitable participation, though systemic disparities need to be addressed.

Peng Gao, Shuochen Xiao, Fara Diva Mustapa · Climate Risk Management · Global

This comprehensive review synthesized research on urban and peri-urban agriculture (UPA) globally, specifically within the context of its advantages, challenges, and climate change mitigation and adaptation efforts, including technological innovations and policy frameworks. The review demonstrated UPA’s ability to advance social interactions, improve urban microclimates, mitigate the urban heat island phenomenon, and provide essential ecosystem services. However, UPA is limited by scarce land resources and soil contamination, along with water management challenges and regulatory frameworks.

Tinawaen Tambol, Emmanuel Kanchebe Derbile, Moussa Soulé · Scientific Reports · Niger

This study investigated peri-urban farming systems in West African Sahel cities. A mixed-method research design, including field and household surveys of 142 peri-urban smallholder farmers, was employed. Results showed that biopesticides/crop and pest management were the most used Climate-Smart Agriculture Technologies (CSAT) in dry-season farming (p = .002). Other technologies included fertilizer micro-dose, organic manure and compost application, flood-tolerant improved varieties, and green energy-based irrigation.

Upinder Kaur, M. Kaur, Aparna Kumari, Deepika Shukla, Rajan Datt, Mehar Chand · Frontiers in Sustainable Cities · Global

This paper proposes a deep learning model, UrbanAgri, integrating ResNet101 and the Sparrow Search Optimization (SSO) algorithm, to identify plant stress in urban agriculture environments. Trained on a heterogeneous dataset of urban crop images, the model achieved an F1-score of 98.9 and ROC-AUC of 0.989, outperforming traditional approaches. This framework aims to reduce crop waste and promote sustainable urban agriculture by accurately detecting biotic and abiotic stress factors.

Monica Dutta, Deepali Gupta, Sumegh Tharewal, Deepam Goyal, Jasminder Kaur Sandhu, Manjit Kaur, Ahmad Ali AlZubi, Jazem Mutared Alanazi · IEEE Access · Global

This comprehensive study, utilizing bibliometric and comparative analysis, explored the opportunities and challenges of IoT-based soilless agriculture for global food security. While these advanced farming methods offer benefits like increased productivity and resource conservation, they also face significant challenges including high initial investment, technological dependency, and energy consumption. The research highlights current trends and research gaps in this field.

Dhirendra Kumar Shukla, Arvind Dagur, Shabir Ali, Akhilesh Kumar · · Global

This paper presents an IoT-enabled Smart Garden Monitoring System that integrates an ESP32 microcontroller with DHT11, soil moisture, and LDR sensors to automate and optimize irrigation. Experimental results show approximately 30% water savings and full real-time monitoring, surpassing traditional systems. This system supports sustainable urban gardening with minimal effort and offers enhanced efficiency over prior irrigation technologies.

Yuni Arianti, Ridlwan Muttaqin · Jurnal Dinamika Ekonomi Syariah · Global

This paper focuses on formulating development strategies for Kioschebibit, a micro-enterprise specializing in plant seedling supply, using the Business Model Canvas (BMC) approach alongside a SWOT analysis. A qualitative descriptive case study revealed Kioschebibit’s strengths in product variety, competitive pricing, and social media marketing, but noted challenges in distribution reach and digital marketing execution. External opportunities like gardening trends and green initiatives present substantial growth potential, though threats such as extreme weather and raw material fluctuations must be addressed. By integrating BMC and SWOT frameworks, this study proposes an adaptive and data-driven entrepreneurship strategy as a foundation for sustainable business development.

Joaquim Cebolla-Alemany, Yunyao Cheng, Laia Pintó-Espín, Michele Albano, Marcel Macarulla, Santiago Gassó · Smart Agricultural Technology · Global

A data-driven framework for rooftop smart greenhouses was developed, combining environmental data, meteorological inputs, and actuator states for short-term temperature forecasting. Seven machine learning models were compared, with the best performing model achieving R² > 0.98 and MAE between 0.280 and 0.311. A fuzzy logic-based predictive control system demonstrated over 60% energy savings while maintaining climate stability, though challenges for generalization include dataset size and geographical variability.

Marie Claire Uwase, Jean de Dieu Uwimana · Zenodo (CERN European Organization for Nuclear Research) · Rwanda (Kigali)

This article develops a theoretical framework to analyze how digital land registries in Rwanda, specifically in Kigali's peri-urban areas, mediate women's access to formal agricultural credit. The framework posits that despite formal legal equality, digitization can paradoxically solidify existing patriarchal biases within credit assessment algorithms. It reveals that digital land governance is not a neutral solution for gendered credit gaps and can entrench barriers to women's financial inclusion in peri-urban agriculture by systematically undervaluing women's communal land use practices as collateral.

Mukhamad Kasendra, Dendy K Pramudito, Dedi Afandi · Jurnal Informasi dan Teknologi · Global

Urban farming faces technical obstacles like monitoring soil conditions and time limitations. This paper proposes using the Internet of Things (IoT) to address these issues. IoT can be utilized for real-time soil humidity monitoring via smartphones, thereby resolving current challenges and offering potential for future technological development in urban agriculture.

Anass El-Aabssi, Abdelhadi Assir · Springer Link (Chiba Institute of Technology) · Morocco

This study assessed the potential integration of Intelligent Irrigation Systems (IIS) across four agricultural categories in Morocco—protected agriculture, traditional open-field farming, urban agriculture, and natural ecosystems—for sustainable water management. The evaluation considered infrastructural readiness, technological compatibility, economic feasibility, environmental impact, and social consequences. Findings indicated that traditional open-field farming, which accounts for 85% of cultivated area and 70% of irrigation water, holds the greatest potential for water savings, up to 70%, through precision irrigation technology.

Parul Mehra, Shriram Mahadev Mhaske, Shubham Singh Patel, Shikha Jain · International Journal of Research in Agronomy · Global

Microgreens are a horticultural product cultivated from various vegetable, herb, and wild herb seeds, grown in diverse conditions including urban agricultural settings. They are noted for higher concentrations of bioactive elements compared to mature plants, but their health benefits are still under dispute. A major concern is their rapid deterioration and short shelf life, which can be partially resolved by methods like controlling storage temperature and atmospheric conditions.

Miftah Farid Adiwisastra, Saeful Bahri, H. Syahwani Umar · Jutisi Jurnal Ilmiah Teknik Informatika dan Sistem Informasi · Global

This study aims to develop an IoT and AI-integrated smart farming system operating via edge computing. The prototype system collects real-time environmental data using pH, TDS, temperature, humidity, and water level sensors, processing it with the Random Forest Regressor algorithm to determine optimal conditions. Test results showed the model has very high accuracy in predicting humidity (R² = 0.99; RMSE = 0.65) and temperature (R² = 0.99; RMSE = 0.17), though discrepancies were noted under extreme conditions.

Noryana Ahmad Khusaini, Munifah Siti Amira Yusuf · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · Global

This review examines the significance of digital record-keeping in urban agriculture, focusing on its impact on efficiency, productivity, market access, economic benefits, sustainability, and environmental benefits. The review identifies challenges such as a lack of digital skills, high implementation costs, inadequate technological infrastructure, limited connectivity, data privacy, and security. These challenges hinder the adoption of digitalization in urban agriculture.

Hairi Firmansyah, Petrus Suse Kobesi, Mariani, Windi Bunga Devita, Nurmelati Septiana · Zenodo (CERN European Organization for Nuclear Research) · Global

This study analyzed the effectiveness of urban farming content on YouTube in changing the younger generation's perception of urban farming, using a descriptive quantitative approach with primary data collected via questionnaires. Findings showed practical farming tutorials were the most popular content (49%), and the cognitive dimension had the highest average score (3.44), indicating increased understanding of urban farming concepts and techniques. The behavioral intention dimension was second highest (3.34), with the intention to grow vegetables at home scoring highest (3.85), while the affective dimension (3.24) suggested emotional and motivational aspects need strengthening.

Edwin Villagrán, John Javier Espitia, Jader Rodríguez, Linda Gomez, Gina Marcela Amado Saavedra, E.J. Baeza, Cruz Ernesto Aguilar-Rodríguez, Jorge Flores-Velázquez, Mohammad Akrami, Rodrigo Gil, Luis Alejandro Arias · Sustainability · Global

This study conducted a bibliometric analysis of artificial lighting technologies in greenhouses and protected agriculture, examining scientific publications from the Scopus database between 1974 and 2024. It found a significant increase in research over the last two decades, with the United States, Canada, the Netherlands, and China leading in scientific output. Key trends include the use of specific light spectra (red and blue) and the integration of LED systems with digital sensors, though adoption in developing countries like Colombia remains in early stages.

Faran Muhammad, Muneeba, Muhammad Bilal · Gomal Journal of Agriculture and Biology · Global

This paper explored hybrid approaches to urban agriculture combining vertical farming and rooftop gardening. Experimental pilot hybrid systems installed in certain metropolitan regions showed significant improvements in yield per unit area, water-use efficiency, and energy-use efficiency compared to normal rooftop gardens. Qualitative assessments highlighted positive community-level outcomes, including greater dietary diversity, better comprehension of sustainable food habits, and a rise in wellness and health perception.

Mahmoud A. Abdelhamid, Tarek Kh. Abdelkader, Hassan A. A. Sayed, Zhao Zhang, Xiaohui Zhao, Mohamed F. Atia · Scientific Reports · Global

This study aimed to advance sustainable urban agriculture by designing and evaluating a solar-powered smart rooftop irrigation system for peppermint cultivation. The smart system reduced water and energy consumption by 28.1% compared to conventional irrigation, and also achieved a notable reduction in CO2 emissions from 0.252 kg CO₂/m²/year to 0.181 kg CO₂/m²/year. Economic analysis demonstrated a payback period of 5.6 years, highlighting its financial viability.

Tong Wu · Scientific and Social Research · Global

This study analyzed the impact of generative AI on the intelligent transformation of urban agriculture from theoretical and technical perspectives. Generative AI was shown to be applicable in production optimization, marketing innovation, and farmer education, enhancing resource utilization efficiency and industrial sustainability. However, its widespread application faces challenges such as agricultural data silos, model adaptability, cost, and talent shortages, requiring collaborative support from policies, technologies, and talent.

Sreekumar Anand, Ravindran Lalithambika Visakh, B. K. Shrithar Bhalaji, Parvathy, N. Vishnu Swaroop Reddy, Athulya Rajasekharan · Plant Breeding · Global

This review focuses on the strategy, mechanism, and recent upgradations of CRISPR-Cas system-based genome editing. In tomato breeding, a limited genetic base presents hurdles, and CRISPR-Cas genome editing has been used to improve fruit quality and yield, increase stress resistance, promote wild tomato domestication, and tailor varieties for urban farming. This technology offers precise genome editing, low off-target mutations, efficiency, adaptability, and cost-effectiveness, and has been effectively utilized in tomato crop improvement.

Zi Jian Oh, Ainul Hayat Abdul Razak · International Journal of Academic Research in Business and Social Sciences · Malaysia

An exploratory study in five Malaysian vocational colleges investigated the Sustainability Tracker 360, a digital dashboard for monitoring food waste management and urban farming. Composting systems converted 43.35 kg of food waste into 12.95 kg of organic fertilizer (29.9% conversion rate), supporting 150 potted plants. Digital monitoring strengthened accountability, fostered long-term engagement, and deepened sustainability awareness among participants.

Mohd Nazmin Maslan, Izzat Rafaie Ramli, Muhammad Hafidz Fazli Md Fauadi, Mohd Erdi Ayob, Mohamad Faizal Baharom, Ihwan Ghazali, Tia Tanjung · Multidisciplinary Science Journal · Global

This study designed and implemented an outdoor home smart farming system using Raspberry Pi 4 Model B, ESP32, sensors, and Home Assistant software to address challenges like limited skills and resources. The system efficiently monitored and analyzed farming parameters, resulting in water usage of only 0.16% and energy consumption of 0.64% compared to daily household use. It also reduced water usage for watering by up to 82.45%, demonstrating its capability to optimize resource use and enhance crop productivity.

Pratham Kawade -, Mrunal Karkar -, Ritisha Mittal -, Neha Sathe · International Journal on Science and Technology · Global

This system utilizes an ESP32 microcontroller connected to DHT11 and soil moisture sensors to capture real-time data on temperature, humidity, and soil wetness. Data transmitted via MQTT protocol to a Flask-based web server is processed by a RandomForestClassifier model, trained on twelve sequential readings per sensor, to suggest the top five crops and monitor plant health against predefined optimal thresholds. Alerts are generated when deviations are detected, and the system is deployed on cloud platforms like Render.