• Development and performance evaluation of an affordable hydroponic structure 

  Aliya Omer Qasim, KK; Deepak, P; Mirfa Hanan Thadathil; Raj Laxmi; Anu Varghese, (Guide) (2024)

  A study was conducted to develop a vertical hydroponics system and to compare the performance of the developed system with existing NFT hydroponics system. Both the structures were installed in naturally ventilated ...
• Smart pest detection for an agricultural field crop based on deep learning 

  Navya Mariam Prasad; Fathima Hiba, K; Vishnupriya, V; Vaishnavi Ajayan, A; Asha Joseph (Guide) (Department of Irrigation & Drainage Engineering, 2024)

  A study was conducted to develop smart pest detection for an agricultural field crop based on deep-learning object detection. The study selected the agricultural field crop pumpkin, and the red beetle pest was detected. ...
• Automation of alternate wetting and drying method and methane estimation for paddy 

  Angeleena Cathereen Joseph; Varna Muraleedharan; Ardra, K; Musharaf Nasar; Sajeena, S (Guide) (Department of Irrigation & Drainage Engineering, 2024)

  Rice farming, reliant on paddy cultivation, is vital for providing a staple food to many worldwide. This intricate process involves various steps, starting from preparing the fields and ending with the harvest. Today, ...
• Spatio-temporal analysis of meteorological variables over India for 21st century approach with CMIP6 climate models 

  Ashitha Mariya Shaji; Haripriya, H; Anusha, C Rajesh; Adhithya, PB; Rema, KP (Guide) (Department of Irrigation & Drainage Engineering, 2024)

  Climate change poses a significant threat to human society, causing loss of livelihoods, human lives, and biodiversity. It affects climatological variables, leading to rising temperatures and precipitation patterns. By ...
• AUTOMATION IN PULSE IRRIGATION USING ARDUINO 

  MATTUMMAL, AFEEFA; SAJU, CHINJU; R, JAYALAKSHMI (Department of Irrigation and Drainage Engineering, 2016)

  The current trend in irrigation is to employ automatic operations in the irrigation system, rather than using the manual operation. Automated irrigation has many advantages such as saving of water and energy, reduction ...
• GEOPHYSICAL TECHNIQUES FOR AQUIFER CHARACTERISTIC STUDIES – A CASE STUDY OF TAVANUR GRAMA PANCHAYAT, MALAPPURAM, KERALA 

  Aparna, SAJEENA.S(GUIDE); Haripriya S; Manchima S Lal; MEGHA PP (Department of Irrigation and Drainage Engineering, 2023)

  A study on the aquifer characteristics of Tavanur Grama panchayat, Malapuram, Kerala was conducted across 23 VES locations by vertical electrical sounding survey. The study aimed at analysing the hydrogeological ...
• AN IOT BASED DRIP IRRIGATION SYSTEM FOR VERTICAL FARMING IN RAINSHELTER 

  ADITHYA S; ALEENA A.N.S; SONA K; VISHNUPRIYA R; ANU VARGHESE (Guide) (2023)

  Watering the plant is the most important cultural practice and one of the labour-intensive tasks in daily greenhouse operation. Watering systems ease the burden of getting water to plants when they need it. Knowing ...
• SPATIAL MAPPING OF WATER SUPPLY & DISTRIBUTION NETWORK OF KCAET CAMPUS USING TOTAL STATION SURVEY & GIS 

  BALAGA SUPRAJA; NIDA FATHIMA; PARVATHY C V; SHAFNA PP; SOORYA K; Asha Joseph (Guide); Sheeja P S (Guide) (Department of Irrigation and Drainage Engineering, 2023)

  Water supply and distribution system conveys water from source to different outlets. For the ease of handling, maintenance and other services mapping of water supply and distribution network of KCAET campus is done. ...
• Artificial neural Network model for Groundwater level Prediction 

  Ananya, M M; Gargi, A; Dilsha, C (Department of Irrigation University and Drainage Engineering, 2020)
• Clogging susceptibility study of drip emitters 

  George, Biju A; Gilsha Bai, E. B.; Rini Rani, S.; Tharakan, Roy (Department of Irrigation University and Drainage Engineering, 1993)
• ASSESMENT OF NEUTRALITY AND SUSTAINABILITY OF KCAET CAMPUS 

  ANUSREE, K. DEEPAK; GAYATHRI MENON, T; GOPIKA, P. D; SURAJ, KUM AR (2022)

  Sustainable urban design, system-level organizational planning, and human behavior have been recognized for their potentially important roles in helping to reduce energy costs and associated environmental impacts, ...
• PERFORMANCE EVALUATION OF RAINHOSE IRRIGATION SYSTEM 

  ANU MOHAN, S; HASHIFA, P; MUHAMMED MISBAH, P; NAJA RAHMAN, K (2022)

  A study was conducted to evaluate the performance of rain hose irrigation system which is an affordable irrigation technology and modern technique of irrigation. It consists of a flexible pipe with a pattern of holes. ...
• DEVELOPMENT AND EVALUATION OF AN ALTERNATE MEDIA FILTER FOR DRIP IRRIGATION SYSTEM 

  ANUSREEE, C.K; RESHMA, JACOB; SHANA SHERIN, V; ARCHANA DAS, N (2022)

  In areas where water is scarce, drip irrigation provides the most efficient way to conserve irrigation water. The performance of drip irrigation systems using waste water is mainly limited by emitter clogging and these ...
• ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF RAINFALL AND EVAPORATION 

  ASWATHY T; HARITHA M; SHAMILI K P; D Sasikala, (Guide) (DEPARTMENT OF IRRIGATION AND DRAINAGE ENGINEERING, 2021)

  In the present study, artificial neural network technique has been employed to predict daily rainfall and evaporation for Pattambi, Kerala. The total 6 years (2014-2019) meteorological data of months June, July, August ...
• ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF RUNOFF 

  ANJALI C V; RACHANA V V; SRUTHAKEERTHI P; Anu Varughese, (Guide) (DEPARTMENT OF IRRIGATION AND DRAINAGE ENGINEERING, 2021)

  Predicting runoff and analyzing its variations under future climates play a vital role in water security, water resource management and the sustainable development of catchment. The rate of runoff is required for the ...
• COMPARISON OF UNSATURATED HYDRAULIC CONDUCTIVITY OF DIFFERENT SOILS THROUGH INVERSE MODELLING USING HYDRUS-1D 

  AKSHAYA K A; AMRUTHA K; ANJU M; DHRUV RAJ BAGRI; Rema K P, (Guide) (DEPARTMENT OF IRRIGATION AND DRAINAGE ENGINEERING, 2021)

  Soil hydraulic conductivity is simply the ability of a soil to transmit water impacts almost every soil application. It is critical for understanding the complete water balance and is also used for estimating groundwater ...
• ARTIFICIAL NEURAL NETWORK MODEL FOR GROUNDWATER LEVEL PREDICTION 

  Ananya.M.M; Dilsha.C; Gargi.A; Asha Joseph, (Guide) (DEPARTMENT OF IRRIGATION AND DRAINAGE ENGINEERING, 2020)

  Groundwater level is an indicator of groundwater availability, groundwater flow and the physical characteristics of the groundwater system. It is an important natural resource for human survival system and major sources ...
• Studies on the effect of saline water intrusion in Tavanur-Ponnani area 

  Hasna Ameena; Jesny, M. J; Rohit Yadav; Sasikala, D (Department of Irrigation and Drainage Engineering, 2019)

  Ground water is one of the most valuable natural resources, which supports human health, economic development and ecological diversity. The world is facing a growing demand for high quality water resources while the water ...
• Irrigation scheduling studies on soilless culture media for Polyhouse cultivation of vegetable crops 

  Aparna, P. V; Krishna; Silpa, S. Jayan; Rema, K. P (Department of Irrigation and Drainage Engineering, 2019)

  Field study on the effect of alternate growing systems and irrigation schedules for soilless culture of salad cucumber and okra under drip irrigation was conducted inside the naturally ventilated polyhouse in the research ...
• Crop water requirement and irrigation scheduling of selected crops using cropwat: A case study of Pattambi region 

  Aiswarya Johnson; Ashika, N. P; Parvathy Nayana, N; Asha Joseph (Department of Irrigation and Drainage Engineering, 2019)

  The study entitled “Crop water requirement and irrigation scheduling of selected crops using CROPWAT: A case study of Pattambi region” was taken up to compute the crop water requirement and irrigation schedule of major ...

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