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Urban plant care is increasingly important for sustainable living, but many users face inconsistent watering, insufficient care knowledge, unsuitable plant selection and delayed disease recognition. This study presents Easy Grow Plants, an integrated web and Internet of Things (IoT) ecosystem that connects plant care guidance, soil-moisture monitoring, automated watering, plant recommendation, image-based plant health assistance, marketplace functions, community interaction and plant exchange. The prototype was implemented using a React frontend, Django REST backend, SQLite database and an Arduino UNO R4 WiFi smart pot with a soil moisture sensor, relay module and DC water pump. Functional, interface, API, IoT connectivity, sensor calibration, watering control and LAN deployment tests were conducted. The results show that the core modules operated together as an integrated academic prototype. The system demonstrates a practical foundation for smart urban gardening, although cloud deployment, multi-device testing and stronger AI validation remain future improvements

This study presents an innovation design for an Internet of Things (IoT)-based watering and liquid fertilizer control system for chili plants using a NodeMCU ESP32. The main problem addressed is the manual watering and fertilizing process, which makes it difficult for farmers to monitor soil moisture, temperature, air humidity, and light intensity in real time. The recommended method used in this draft is Research and Development (R&D) with a prototyping approach because the study focuses on designing, building, integrating, and testing an IoT device through iterative stages. The system is designed using a soil moisture sensor, DHT11, LDR sensor, two-channel relay, two 12 V DC pumps, 16x2 I2C LCD, and the Blynk Mobile application for remote monitoring and control. Sensor data are transmitted to Blynk as percentage values and plant condition statuses, while the water and fertilizer pumps can be controlled using virtual buttons. The control logic defines the optimal condition for chili plants based on soil moisture of 60-80%, temperature of 25-30°C, air humidity of 60-80%, and light intensity of 50-90%. Prototype documentation and functional testing data will be completed in the next stage.

This study discusses the design and testing of a growing media moisture and water level monitoring system based on ESP32-MQTT. The system was developed to support real-time monitoring of growing media conditions and water availability through a monitoring dashboard. This research used an experimental method with a design and implementation approach by developing an ESP32 circuit connected to a capacitive soil moisture sensor and a water level sensor, then sending sensor data to the dashboard through the MQTT protocol and Node-RED. Testing was carried out using a plant pot as the moisture testing medium and a water container as the water level testing medium. The results showed that the growing media moisture sensor displayed 0% in dry and very dry soil conditions, 61% in moist soil, and 89% in very moist soil. The water level sensor displayed 0 cm, 2.4 cm, and 4 cm according to the testing conditions. These results indicate that ESP32-MQTT can be used as an initial prototype for monitoring growing media moisture and water level before being applied to a complete hydroponic or aquaponic system.

Perkembangan teknologi mendorong penerapan sistem otomatis dalam bidang pertanian, termasuk pada proses penyiraman tanaman. Kelembapan tanah merupakan faktor penting yang mempengaruhi pertumbuhan tanaman, namun pada Persemaian RBC Perhutani BKPH Bawang, penyiraman masih dilakukan secara manual sehingga berpotensi tidak terkontrol dan menyebabkan kelebihan air. Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring serta penyiraman tanaman otomatis berbasis ESP8266 dengan sensor kelembapan tanah. Sistem ini menggunakan sensor kelembapan tanah sebagai input, ESP8266 sebagai pengendali utama, relay untuk mengontrol pompa air, modul RTC sebagai penjadwalan, serta aplikasi Blynk untuk monitoring jarak jauh. Metode penelitian meliputi perancangan, pembuatan, dan pengujian sistem. Hasil menunjukkan bahwa sistem mampu bekerja dengan baik, di mana pompa aktif saat kelembapan tanah di bawah 60% V/V dan berhenti saat di atas 60% V/V, serta dapat melakukan penyiraman terjadwal dua kali sehari. Sistem ini diharapkan dapat meningkatkan efisiensi dan akurasi dalam penyiraman tanaman.

Cucumber (Cucumis sativus L.) is a high-value horticultural commodity, but its production has declined due to drought stress affecting plant physiology and female flower formation. To address this issue, the use of mulch and planting spacing can modify the microclimate and reduce inter-plant competition. This study aimed to evaluate the effects of rice straw mulch and planting spacing on the growth, yield, and environmental conditions of cucumber. A factorial randomized block design was employed with two factors: mulch (no mulch and rice straw mulch) and planting spacing (40 × 60 cm, 50 × 50 cm, and 60 × 40 cm), replicated four times. Observed variables included vegetative growth, number of male and female flower, yield, soil temperature, and soil moisture. The study was conducted from June to August 2025 at the Agrotechnopark, Brawijaya University. The results showed a significant interaction between rice straw mulch and 50 × 50 cm planting spacing on fruit diameter, fruit length, fruit weight per fruit, fruit weight per plant, and plant productivity. This combination also created a more stable soil environment. It is concluded that the application of rice straw mulch with a 50 × 50 cm planting spacing is the optimal combination for enhancing cucumber growth and yield through improved microclimate conditions, however, these research are limited to a single growing season and a single experimental location.

Soil strength characteristics are strongly influenced by its physical and mechanical properties, one of which is shear strength. Soil shear strength is affected by cohesion (c), internal friction angle (ϕ), and soil moisture conditions. In open-pit mining conditions, soil moisture content is greatly influenced by rainfall and water seepage, which can increase the degree of saturation within the soil mass. An increase in the degree of saturation generally leads to a rise in pore water pressure, thereby reducing the effective normal stress and resulting in a decrease in soil shear strength. This study aims to determine the effect of the degree of saturation on soil shear strength. This research employs a quantitative method to analyze the influence of the degree of saturation under three conditions (natural, dry, and saturated) on soil shear strength through laboratory testing using the direct shear test. The tests conducted include soil physical properties testing in accordance with SNI 1965-2008, specific gravity testing based on SNI 1964-2008, and soil shear strength testing following SNI 3420-2016. The results indicate that the average degree of saturation under natural conditions is 64.63% with a cohesion value of 7.4 kN/m², under dry conditions is 33.18% with a cohesion value of 8.2 kN/m², and under saturated conditions is 83.08% with a cohesion value of 3 kN/m². It can be concluded that a higher degree of saturation or more saturated soil samples result in lower cohesion values, whereas a lower degree of saturation or drier soil samples lead to higher cohesion values.

Improper water management in rice cultivation can lead to water stress, which reduces productivity. Conventional monitoring has limitations on large-scale lands, necessitating more efficient remote sensing technologies. This study aims to develop a water stress identification system for rice plants in the late vegetative phase using multispectral drone imagery integrated with an Artificial neural network (ANN). The research method employs an experimental approach with six water availability levels in Karyamukti Village, Sumedang. Field reference data were obtained through soil moisture sensors converted into Available Water (AW) values. Image processing stages included orthomosaic reconstruction, leaf object segmentation, and transformation of vegetation indices (NDVI, NDRE, GNDVI, etc.) as model inputs. The results show that the ANN model with a four-hidden-layer architecture achieved training and validation accuracies of 94–95%. In the independent testing phase, the model produced an accuracy of 94.60% with an F1-Score of 93.33%. Spatial visualization of the prediction results indicates a consistent water condition distribution across rice plots. In conclusion, the integration of multispectral drones and ANN provides an accurate non-destructive solution for spatial monitoring of water availability in rice plants.

The lompong flower is an ornamental plant that requires stable soil moisture conditions and a stable environment so that it can grow optimally. Moisture level mismatches often hinder growth and even have the potential to cause plant damage. This research aims to design and implement an Internet of Things (IoT)-based humidity monitoring system that is able to monitor the humidity condition of the pond flower in real-time. The system developed uses soil moisture sensors as input devices, microcontrollers as data processors, and internet networks as a medium for sending data to the monitoring platform. The data obtained is displayed directly so that users can know the actual humidity conditions and take appropriate maintenance actions. The results show that the system is able to display moisture data with a good level of accuracy, as well as provide relevant information for users in plant care decision-making. The implementation of this system has proven to be effective in supporting the maintenance of lompong flowers, especially in maintaining soil moisture stability. This research is expected to be a reference for the development of IoT-based ornamental plant monitoring technology, as well as contribute to improving the quality of plant care in a more efficient and measurable manner.

This study aims to design, implement, and test a prototype that automates three functions, namely watering, fertilizing, and pest control based on Arduino Uno with the ability to directly monitor soil moisture and pH. This system is equipped with four main types of sensors. Soil condition monitoring involves an FC-28 soil moisture sensor and a soil pH sensor, water level measurement involves an HC-SR04 ultrasonic sensor, and pest detection in the plant area involves a RIP sensor. All data obtained from these sensors is then processed by the Arduino Uno microcontroller to automatically activate actuators such as water pumps, liquid fertilizer pumps, buzzers, and DC motors according to soil conditions and plant needs. Prototype testing was conducted on simulated land with various scenarios of moisture, soil pH, and pest activity. The test results revealed that the system was proven to be able to significantly optimize water and fertilizer utilization, as well as reduce pest disturbances that could potentially damage plants.  In addition, this system also displays the operational status directly through an LCD screen, making it easy for users to monitor. The advantage of this system is its multi-function integration in a single device that is cost-effective and easy to operate. In the future, the functionality of this system can be improved through integration with Internet of Things (IoT) technology, enabling remote monitoring and control with greater efficiency. More broadly, this study is expected to support increased production and sustainable agricultural practices in Indonesia.

Expansive clay soil is soil that can expand and contract significantly in response to changes in soil moisture content. This study used an experimental method to stabilize expansive clay soil using a mixture of gypsum waste powder, which was tested using the Atterberg test, the Unconfined Compression Strength test, and the California Bearing Ratio test with mixture variations of 0%, 10%, 20%, and 30%. The results showed that the addition of gypsum waste powder could reduce the expansivity level of the soil from a very high level of 42% to a moderate level of 20%, increase the value in the Unconfined test at a maximum mixture of 10%, and increase the value in the CBR test at a maximum mixture of 30%. Based on the above description, this study aims to determine the extent of the effect of gypsum waste powder on expansive clay soil on the bearing capacity and compressive strength of expansive clay soil.  

The soil in Kedungdandang Hamlet, Muncar, has previously been identified as expansive clay that is highly sensitive to changes in moisture content and exhibits significant shrink–swell behavior, which leads to a reduction in bearing capacity and structural damage such as cracking in floors and walls, therefore, soil improvement through stabilization is required. This study aims to determine the effect of adding cement and rice husk ash (RHA) on the mechanical properties of expansive clay soil by using 3% cement and 6%, 8%, and 10% rice husk ash based on the weight of the soil. The results of the unconfined compressive strength (UCT) test indicate that the natural soil has a qu value of 28.62 kN/m², which increases to 55.08 kN/m² with the addition of 3% cement and 6% RHA, to 62.66 kN/m² with 3% cement and 8% RHA, and reaches the highest value of 86.98 kN/m² for the mixture containing 3% cement and 10% RHA. This increase in qu value indicates that the stabilization process improves the mechanical properties of the soil through a pozzolanic reaction, resulting in a more stable soil structure and a higher bearing capacity.

Household waste management, especially organic waste, remains a major problem in many regions, including Pematang Guntung Village, Teluk Mengkudu District, Serdang Bedagai Regency. Improperly managed organic waste has the potential to cause unpleasant odors, environmental pollution, and become a source of disease. Therefore, an appropriate and environmentally friendly solution is needed to overcome this issue. This study aims to examine how the application of the biopore method can serve as a strategy to create a cleaner environment while simultaneously improving soil fertility. The research method used was qualitative, with data collection techniques including observation, interviews, and documentation. The data obtained were analyzed descriptively to illustrate the implementation of biopores in the community. The results showed that the application of biopores was able to significantly reduce the volume of household organic waste. Organic waste placed into biopore holes naturally decomposed into compost, which is beneficial as an environmentally friendly fertilizer. In addition, biopores improved soil water absorption capacity, which helps reduce waterlogging during the rainy season and maintain soil moisture. From a social perspective, biopores encouraged the development of new awareness among community members regarding the importance of waste management. This was demonstrated by the active participation of residents in creating, utilizing, and maintaining biopore holes sustainably. Thus, biopores function not only as a technical solution for organic waste management but also as an environmental education tool that strengthens community collaboration in maintaining cleanliness and enhancing soil fertility in their area.

This community service program in Gunung Kijang Village, Bintan Regency, Riau Islands Province, was designed to strengthen local empowerment through the synergy of education, economy, agriculture, and social participation. The activities consisted of four initiatives: workshops on Canva-based learning media for teachers, digital marketing training and social media account creation for MSMEs, participatory mapping of challenges and potentials of local food businesses, and smart farming education using soil moisture sensors to introduce efficient irrigation technology. The results showed significant achievements across sectors. In education, teachers improved their technological skills and created interactive media that enhanced student motivation. In the economic sector, MSMEs adopted digital promotion strategies, leading to wider market reach and sales. The participatory mapping revealed obstacles such as licensing, packaging, and financial literacy, while also identifying opportunities for product diversification using local resources. In agriculture, farmers were introduced to water-saving irrigation technology that improved efficiency and supported environmentally friendly practices. On the social side, community institutions such as PKK, Karang Taruna, and farmer groups played an important role in strengthening solidarity and expanding collaboration. Overall, the program proved that integrating digital literacy, technological innovation, and community participation can accelerate rural independence while fostering sustainable welfare for island communities.  

Worm infestation due to Soil-Transmitted Helminths (STH) infection remains a public health problem, especially among elementary school children who frequently interact with contaminated soil. This condition is a major concern because it can cause long-term health problems, particularly in terms of physical growth and development of children. This study aims to identify the presence of STH worm eggs and larvae in soil and fecal samples of children in Bekoso Village, Pasir Belengkong District, Paser Regency, East Kalimantan. This study used a descriptive approach with a cross-sectional design. The samples used consisted of 23 soil points taken from oil palm plantations with sandy and loose soil criteria, as well as 16 fecal samples from elementary school children. Fecal examination was carried out using the Kato-Katz method to detect worm eggs, while the soil was examined using the Baermann technique to detect worm larvae. The results showed that 25% of children's fecal samples were infected with worm eggs, with 12.5% containing hookworm eggs, 12.5% Taenia sp. eggs, and 6.25% Ascaris lumbricoides eggs. In soil samples, 60.87% tested positive for Strongyloides stercoralis larvae and 26.09% tested positive for Ascaris lumbricoides eggs. These findings indicate a high risk of STH infection in children in the area. Environmental factors such as soil moisture, soil texture suitable for worm breeding, and poor personal hygiene practices are suspected to be the main causes of the spread of infection. This study emphasizes the importance of education on clean and healthy living behaviors (PHBS) and improving environmental sanitation to reduce cases of worm infection, especially in endemic areas such as Bekoso Village. More comprehensive prevention efforts are urgently needed to address this problem and improve public health, especially among elementary school children.

The coffee farming sector in Gunungmanik Village, Indonesia, plays a significant role in the local economy. However, the monitoring and management of coffee crops remain largely manual and conventional, making it difficult for farmers to respond quickly to environmental threats such as drought, pests, or sudden temperature shifts. This research presents the development of iotgm.id, a web-based monitoring system integrated with Internet of Things (IoT) devices designed to provide real-time environmental data for coffee plantations. The system measures key parameters including temperature, soil moisture, and motion detection (as a proxy for pest activity), and delivers this data via a user-friendly web interface. It also features digital farm record management, real-time alerts for abnormal conditions, and data visualization through interactive dashboards. Field testing with local farmers showed that the system improves decision-making, speeds up responses to environmental changes, and reduces the need for direct field visits. Unlike earlier systems that often required technical expertise or focused on single parameters, this system offers multi-parameter monitoring and is accessible to farmers without advanced digital literacy. The system bridges the gap between sophisticated agricultural technologies and practical field-level application. It contributes to the adoption of precision agriculture in rural areas, offering a scalable model for broader implementation in similar contexts

The food security program involving chili cultivation in Pentur Village is hindered by inefficiencies in water use and suboptimal plant growth, primarily due to traditional irrigation methods that fail to consistently maintain ideal soil moisture and temperature. This issue is exacerbated by unpredictable environmental shifts, such as fluctuating weather patterns, and a lack of precise irrigation control stemming from technological limitations. To address this, a system for monitoring and regulating chili plant irrigation using IoT technology was developed. This system employs humidity and temperature sensors connected to an IoT platform like Blynk, enabling real-time observation of plant and environmental conditions. Data on soil moisture, air temperature, and humidity are stored in a database, and irrigation is automated based on soil moisture levels. The goal is to enhance water efficiency, minimize risks associated with over or under-watering due to environmental variations, and improve both yield and quality of the chili crop. This IoT-based system aims to simplify chili plant management for Pentur Village farmers and significantly boost agricultural output.

This research aims to be able to meet the water supply of lettuce plants automatically by using three sensors such as soil moisture, water level, and water discharge. The goal is to provide water needs to plants automatically and regularly. The developed tool uses YL-96 sensor for soil moisture, HC-SR04 for water level and YF-S201 for water discharge. Sensor data is sent to the arduino to be processed using the fuzzy mamdani method so that these three data values affect the movement of the tap servo motor that flows to the lettuce plant. Fuzzy logic here as a decision maker from the value of 3 sensor data and then processed automatically by arduino using fuzzy mamdani to determine how many degrees the servo motor moves. The result is that the Lettuce Plant Water Needs Analysis System Automation Tool is able to maintain the water supply of lettuce plants and soil moisture ideally at 76% with a servo motor movement system success rate of 100%.

Due to the busy activities outside the home, some people do not have time or forget to water their plants, so when they return home they find that the plants have died from drought. Therefore, to overcome this problem by conducting research using Internet of Things technology. The aim of this research is to design an automatic watering tool to overcome manual watering and support learning. This prototype uses a NodeMCU ESP8266 as the main controller, a soil moisture sensor is used to read soil moisture.  Soil moisture sensors are used to detect soil moisture. If the soil humidity is below the minimum limit, the watering process will be active and the watering process will be active if the NodeMCU ESP8266 receives commands from the smartphone.

Watering plants is an important activity that cannot be ignored in order to maintain sufficient air intake for optimal growth. Manual watering methods, which are commonly carried out according to a schedule, are often inefficient because they require significant allocation of time and energy. Improper watering techniques are one of the risks of plant growth factor failure, where unmaintained soil moisture can cause plants to wilt and die. This study aims to develop an automatic irrigation system based on the Internet of Things (IoT) that utilizes light energy as its power source, with the aim of being able to save time, lighten human work, and at the same time optimize the use of energy resources. This system is designed to monitor soil conditions in real-time and regulate watering automatically, supported by a sustainable light energy source. The results of this study indicate that the automatic watering system based on the Internet of Things (IoT) developed and powered by light energy is able to overcome the problem of plant drought effectively, while saving time and lightening human work in watering activities. 

This study aims to describe the application of Internet of Things (IoT) technology in optimizing soil health management through a systematic literature review. This research compares various IoT implementations for monitoring soil moisture, pH, and nutrients based on previous studies, and identifies differences in technological approaches, sensors used, and automation levels. The review results indicate that although IoT technology is proven effective for real-time soil condition monitoring and supporting precision agriculture, its implementation varies significantly between advanced systems with full automation developed internationally and simpler, local monitoring systems in Indonesia. The comparison shows that wireless inductive moisture sensors are superior in accuracy and corrosion resistance compared to conductive sensors. A TDS sensor-based hydroponic nutrient monitoring system demonstrated high accuracy with an average error of 4.7468% , while soil pH monitoring achieved an accuracy with a Mean Absolute Error (MAE) of 0.14. Furthermore, automated watering systems proved to reach a success rate of up to 93.75%. This review concludes that adapting low-cost wireless sensor system models has great potential for improving the efficiency of soil management in Indonesia, despite facing challenges in infrastructure and digital literacy.