This study was undertaken to fabricate Vertical Farming Structures (VFS) suitable for homestead and evaluate the performance of fabricated vertical farming structures. The experiment was conducted in Kelappaji College of Agricultural Engineering and Technology (KCAET), Tavanur, in Malappuram district, Kerala. Two vertical farming structures DVFS 1 (Developed vertical farming structure 1) and DVFS 2 (Developed vertical farming structure 2) were designed and fabricated. The drip irrigation system was adopted to irrigate the plants to reduce the wastage of water. Amaranthus seedlings of variety ‘Kannara local’ was taken for the trial. Climatic parameters and biometric observations were analyzed to compare and evaluate the performances of vertical farming structures. Correlation analysis was done using IBM SPSS statistics 25 software. The analysis of trials revealed that DVFS 1 showed better performance in every aspect compared to DVFS 2. The biometric observations like plant height and number of leaves were more in T1 at the right side and followed by T3 at the right side of DVFS 1. The plant characteristics are highly correlated with the light intensity. This was the reason for more growth was observed on the right side of DVFS 1. The maximum yield was obtained from the DVFS 1 (58%) than DVFS 2 (42%). The study recommended that usage of the platform like structure with triangular cross-section was more advantageous than the structure with tiers one over the other with Poly Vinyl Chloride (PVC) splits.
Water conservation becomes essential as the resource becomes scarcer. The most important step in managing water resources is estimating watershed runoff generated from rainfall, as the runoff and rainfall are the key factors in determining water availability for surface storage and groundwater recharge. So, this study is mainly focused on estimating the surface runoff generated from the three sub-catchments of Karamadai, Tamil Nadu, India, using the heavy to extreme daily rainfall events received in the study area within the span of 20 years (2000–2019). The study was performed in the ArcGIS environment using remote sensing data. The SCSCN (Soil Conservation Service-Curve Number) method was used to estimate surface runoff. The changes in the land use in each sub-catchment were analysed in each decade and studied for their impact on the runoff depth. The land use and land cover classification map of the study area was prepared from LISS III satellite imagery for the years 2006 and 2016 by using supervised classification. The curve number was assigned based on land use as well as the hydrologic soil group. The weighted curve number was calculated from the area under each land use and then used to calculate storm runoff. The maximum runoff occurred in 2011 in all the catchments of the Karamadai block. It was found that more runoff occurred in the Mandrai Pallam catchment compared to Periya Pallam and Pare Pallam, as the Mandrai Pallam catchment had less soil moisture retention capacity than the other two catchments. So, more priority must be given to this catchment while planning to implement the soil and water conservation measures.
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