This study developed a new technology for decontaminating pesticides and maximizing the efficiency of the biodegradation process through experimental design methodology. Pseudomonas putida OR084957 previously isolated from agricultural wastewater had showed promising biodegradation capability of P. putida of 79.0
This study investigated the interactive effects of apical bud removal timing (early at 20 vs. late at 65 days after transplanting) and irrigation scheduling on the growth, physiology, and productivity of greenhouse-grown bell pepper (Capsicum annuum L.) under Egyptian conditions. The experiment included three treatments (no pinching; T0, early pinching; T1, and late pinching; T2) with apical and lateral tips removed in T2 at the end of the first season to induce regrowth and extend harvest into a second season. Results showed that early pinching (T1) enhanced vegetative branching but reduced fruit set, whereas T0 exhibited moderate productivity and low wateruse efficiency (WUE). In contrast, late pinching (T2) enhanced growth and yield during the first cycle, and after regrowth, supported a second productive phase without replanting, achieving the highest yield and WUE (6.04 vs. 3.10 kg m-3 in T0), along with elevated chlorophyll, sugar, and protein contents.
The growing scarcity of clean water has led to the increased reuse of treated and even untreated wastewater, particularly in agriculture. However, this practice poses significant environmental and public health risks due to the presence of emerging contaminants such as antibiotics and antibiotic resistance genes (ARGs). This study presents an optimized electrochemical treatment system for the removal of ciprofloxacin (CIP) and antibiotic-resistant bacteria (ARB) from hospital wastewater, using a biochar/graphite anode and a graphene oxide coated hydrogel nano-TiO₂ cathode. Response Surface Methodology (RSM) based on a "Box–Behnken" design was applied to optimize operational parameters including pH, initial CIP concentration, current density, and contact time. Under optimal conditions, 94.3
Smart irrigation systems utilising the Internet of Things (IoT) technology and sensory systems have emerged as a revolutionary approach to modernising agriculture and addressing sustainability challenges. The worldwide agricultural sector continues to struggle with two major problems, which include water resource depletion and high operational expenses because of outdated irrigation systems. The research investigates the immediate requirement for budget-friendly precision agriculture solutions that can serve small to medium farmers operating in limited resource areas. The paper describes the development of an affordable IoT-based smart irrigation system that underwent experimental testing. The system uses an ESP32 microcontroller as its core component while incorporating a capacitive soil moisture sensor for precise measurements, a DHT11 sensor for environmental data collection, and the Blynk IoT platform for live monitoring and distant system operation. The system begins irrigation when soil moisture reaches 20
Monitoring dam stability is critical to ensure structural safety and operational reliability. This study integrates Persistent Scatterer Interferometry (PSI) based on Sentinel-1 SAR imagery (2020–2023) with Finite Element Method (FEM) simulations to assess the behavior of the Koyna Dam in India. PSI detected crest displacements between −1.0 and −1.8 mm yr−1, while FEM simulations predicted a maximum vertical displacement of approximately −3.2 mm at the crest. Although these results represent different quantities (time-averaged displacement rates versus peak static displacement), both approaches indicate millimeter-scale deformation and a consistent pattern of settlement at the dam crest, supporting the interpretation of hydrologically driven structural response. The observed differences are primarily attributed to differences in spatial resolution and methodology between point-based FEM outputs and pixel-averaged satellite observations. The study demonstrates that combining satellite-based monitoring with numerical simulations provides a robust and cost-effective framework for dam safety assessment. This integrated approach supports improved interpretation of deformation behavior and offers practical value in extreme conditions, such as during flood events or climate-driven hydrological changes. Furthermore, continued advances in remote sensing and numerical modeling are expected to enhance the reliability of such approaches, making this methodology a transferable and sustainable solution for dam management worldwide.
