http://localhost:8080/xmlui/handle/123456789/6 Mon, 20 Apr 2026 12:10:16 GMT 2026-04-20T12:10:16Z http://localhost:8080/xmlui/handle/123456789/2199 Title: Waste Water Treatment through Constructed Floating Wetland Authors: Fiba M; Shahla Sherin P P; Arathi N; Shahana M; Jinu, (Guide) Wed, 01 Jan 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2199 2025-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2195 Title: IMPACT OF SOIL AND WATER CONSERVATION MEASURES ON IRRIGATION WATER QUALITY AND LULC CHANGES IN PERUMATTY PANCHAYATH Authors: MIDHUN S; ANN MARIA PETER; MEENAKSHI MADHUMOHAN; NASLA SHARIN P; Abdul Hakkim V M, (Guide) Wed, 01 Jan 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2195 2025-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2082 Title: Real time monitoring of microclimatic parameters of polyhouse using IOT embeeded sensor system Authors: Abhiram Babu; Bhavana P; Anjaly Anand; Keerthi Nath R; Sathian, K K (Guide) Abstract: In the light of increasing global challenges such as climate change, rapid urbanization, and the growing demand for food due to population rise, there is an urgent need to implement sustainable and efficient agricultural practices. One promising solution is the application of smart farming technologies that utilize realtime data for decision-making. This project, conducted at KCAEFT, Tavanur between January and May 2025, focuses on the development and deployment of a real-time microclimate monitoring system inside a polyhouse using IoT-embedded sensor technologies. The system is built around a microcontroller-based architecture with ESP32 modules, enabling wireless communication and real-time data visualization. Multiple environmental parameters critical for crop production—such as air temperature, relative humidity, soil temperature, light intensity, and wind speed—were continuously monitored using a network of strategically placed sensors. Data collected was transmitted to an integrated cloud platform, allowing for remote access and timely insights without manual supervision. To ensure accuracy and reliability, sensor calibration was carried out through comparative analysis with standard instruments and digital weather applications such as Wind Compass Pro and Zoom Earth. Though some sensors (e.g., anemometer, soil temperature, and BH1750 light sensor) initially showed minor deviations of recorded data from their true values, the calibration process yielded highly satisfactory results, as reflected by high R² values, validating their performance. A well-planned wiring layout ensured minimal energy usage and cost-efficiency, with total wire requirements of 842 meters per module. Visualization tools and analytics helped track trends in microclimatic variations, enabling precise climate monitoring. This project demonstrates a scalable, low-cost, and energy-efficient solution for real-time microclimatic monitoring of polyhouse environments. It provides a robust foundation for future automation, paving the way for smart farming systems that optimize resource usage, reduce labour dependency, and enhance productivity through precision agriculture practices Wed, 01 Jan 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2082 2025-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2081 Title: Identification of hydrologically sensitive areas in Valanchery watershed Authors: Arjun K; Ashalakshmi M S; Swathy Suresh; Anu Varghese, (Guide) Abstract: Soil erosion poses a significant threat to agricultural productivity and environmental sustainability, particularly in vulnerable watersheds. This study aims to identify Hydrologically Sensitive Areas (HSAs) within the Valanchery watershed in Kerala, India, to propose targeted soil and water conservation interventions. A total of 19 soil samples were collected across various land use types and analyzed for key physical properties, including bulk density, specific gravity, organic matter content, soil texture, and hydraulic conductivity. Spatial distribution maps of the soil properties were generated using Inverse Distance Weighting (IDW) in ArcGIS. The study employed digital elevation models (DEMs) to calculate the Topographic Wetness Index (TWI) and Soil Topographic Index (STI), critical for delineating HSAs. Results revealed that areas with STI values above 9 were prone to high runoff and erosion, typically concentrated along drainage lines and valley bottoms. Overlay analysis of Land Use/Land Cover (LULC) and STI maps indicated that paddy fields, barren lands, and mixed vegetation in these zones are most vulnerable. Accordingly, conservation measures such as contour bunds, percolation pits, agroforestry, and check dams are recommended based on IMSD guidelines. This study provides a replicable geospatial framework for erosion risk assessment and soil conservation planning in similar agroecological settings. Wed, 01 Jan 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2081 2025-01-01T00:00:00Z