Impacts of fertigation via surface and subsurface drip irrigation on growth rate of rockmelon

Fertigation is one of the most important application of irrigation that are being used in commercial farming. This aplication help farmers to timely supply the water through drip irrigation coupled with accurate amout of water, rate of fertilizer application, and at the same time improving the nutrient uptake and water use efficiency (WUE) by the plant. The water supply through surface and subsurface drip irrigation system is the most efficient irrigation practice compared to others.Water supply from subsurface drip irrigation system is directly into the root zone, while for surface drip irrigation, water is supplied above the root zone. However, the use of surface drip irrigation system can cause the irrigation water easily evaporate to environment and reduce the WUE by plant. Rockmelon (cucumis melo) was selected as plant material in this study. Rockmelon is one of the plant that contain sweet and juicy along with other nutritional value. It also has commercial interest in a number of countries, including Europe, the United States, Mediterranean and Asia. The objectives of the study were to observe the different growth rate of rockmelon between surface and subsurface drip irrigation as well as to observe the efficiency of irrigation. This study was conducted under the rain shelter at Unit Fertigasi Projek Keusahawanan Ladang 10, Universiti Putra Malaysia (UPM). There were two treatments of irrigation tested, surface drip irrigation and subsurface drip irrigation. Data collection include leaf diameter, leaf length and fruit circumferences. The effect of irrigation on growth performance of rockmelon were observe during week one and week six and was analyzed with Statistically Analysis System (SAS). The result of this study showed that, the growth for surface drip irrigation is higher compared to subsurface drip irrigation and both of the treatments achieved 25% of irrigation application efficiency

Rice crop monitoring using multirotor UAV and RGB digital camera at early stage of growth

The increasing of population in the world lead the Malaysia government to intensification the food supply for the future in efficient way. Sustainable agriculture plays a main role for maintain the food production and preserve the environment from any excessive chemical by usage of technology for the better management. The Economic Transformation Program (ETP) emphasizes on the use of technology to finest aid crop production. Drone applications in crop monitoring are increasing globally and get place among end-users. The objective of this paper is to monitor rice crop by using multirotor Unmanned Aerial Vehicle (UAV) as known as drone and RGB digital camera in Kelantan, Malaysia. This paper will present the spatial analysis using RGB imagery in paddy plot at early stage to improve the management system. Results show that the uneven ground surface is a key element in achievement the higher yield production and improving the irrigation system in the paddy field. The ground management need to take action to make sure the paddy development can be growth in a healthy condition to increase the yield

Geotagged application for durian trees using aerial imagery and vegetation indices algorithm

Durian demand has increased considerably, and it has gained popularity in the market. Under Industrial Revolution 4.0, precision agriculture is expanding globally with a wide range of digital technologies that provide the farming industry with information to improve farm productivity. The objectives of this study are to geotag the durian trees and to compare several Vegetation Indices (VIs) algorithms (VisibleBand Difference Vegetation Index (VDVI), Visible Atmospherically Resistant Index (VARI), Normalized Green-Red Difference Index (NGRDI), Red-Green Ratio Index (RGRI), Modified Green-Red Vegetation Index (MGRVI), Excess Green Index (ExG), Color Index of Vegetation (CIVE), and Vegetativen (VEG)). One hundred sixty durian trees at the Durian Valley in Kluang (Johor), were tagged, which consist of four sample trees for each treatment. Every two weeks of ground data such as the height of trees, canopy width, girth’s diameter, node distance, pH value, moisture content, electrical conductivity (EC) reading, and leaf sizes were exported into the QGIS software and joined with the tagged durian trees. The aerial imagery data captured the durian plantation area using Red Green Blue (RGB) sensor with a 100 m flight attitude. pH, EC, and moisture content were interpolated using Inverse Distance Weighted (IDW) technique. The processed image by VIs and geotagged trees could help farmers to identify the problem areas in the farm and monitor durian plantation effectively

Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria

Integrating agricultural production with the identification and use of groundwater resources has been shown to reduce multidimensional poverty in semi-arid regions. Poverty reduction and socioeconomic growth depend on sustainable water supply, especially in developing countries with limited rainy seasons. Poverty eradication is a top priority among the 17 Sustainable Development Goals (SDGs), and its reduction in the 21st century has led to significant advances in research. This study used remote sensing, geographic information system (GIS), and geospatial decision support system (S-DSS) approaches to uncover potential groundwater zones. The Analytic Hierarchy Process (AHP) integrates geospatial data to create a groundwater potential zone map and suggests the best land requirements for groundwater abstraction for poverty alleviation programs. The groundwater potential zone maps indicate that the majority of the region was in the high-potential zone, covering 59.75 of the total area, followed by a moderate-potential zone at 23.21, an extremely high-potential zone at 14.6, a low-potential zone at 2.44, and an extremely low-potential zone at 0. In addition, the study emphasizes the need for alternative water sources and infrastructure development in dry seasons in areas with fewer drainage systems and proposes measures such as rainwater harvesting structures and small reservoirs. Diversifying income sources by promoting alternative livelihoods can help reduce poverty and vulnerability to fluctuations in agricultural productivity. The integration of socioeconomic data into the S-DSS framework will provide a comprehensive understanding of the complex relationship between groundwater resources, poverty, and socioeconomic development, enabling informed decision-making in water resource management for poverty reduction initiatives and the achievement of the 2030 Agenda for Sustainable Development Goals. © 2023 Elsevier B.V

Web based agricultural data management system and methods of managing thereof.

A web based agricultural data management system is provided, the system includes a server and a database network connectible to an interface terminal, wherein data is translatable to readable and viewable maps used in agriculture

Mapping of affordable housing sustainability level from environmental geospatial aspect in Gombak, Selangor

Housing is important since it provides security, privacy, neighbourhood and social relations, status, community facilities and services, access to jobs and control over the environment. To enable everybody to afford a house, affordable housing was introduced and developed throughout the world. But there's an issues with current affordable housing development, especially the sustainability of these affordable housing, especially from environmental aspects. Several initiatives have been done to improve current sustainability, but current initiatives lack of spatial indicators to assess the sustainability level, from environmental aspects. This study focus on assessment of sustainability level from environmental aspect. The assessment method consists of 3 main components; the green space availability, proximity to water features, and proximity of flood areas. The results show that most of the affordable housing in this study area was less sustainable in term of environmental aspects. From this results, proper planning and development to sustain the affordable housing surrounding area can be done by government, or other stakeholders in the future