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The in-ability of the vast majority of potato farmers in the five sampled LGAs of Plateau state to properly harness the rich climatic condition and get to know when and where to plant or grow, the required quantity and specific seedling to plant and expected yield with date of harvest; were what motivated this study. This article leveraged on the use of remote sensing data, Moderate Resolution Imaging Spectro-Radiometer and Normalized Difference Vegetation Index (MODIS and NDVI) and models from which a timely calendar for potato farmers in the sampled areas were generated. MODIS was used for modeling and predicting potato farming, while the result of NDVI was used to determine the revealed variation in climate, time, temperature, soil moisture content, greenness of land, extent of crop in term of acreage, etc. The single average vegetation index (SAVI) created a scenario whereby a single NDVI data applied on a specified acreage of potato land under investigation in order to make predictions and model for that particular portion. But, the coefficient of normarlized difference vegetation index (CNDVI) allows for comparing correlation coefficient of two or more NDVIs in order to draw inference and predict/model accurately; while coefficient of single average vegetation index (CSAVI) was used to assert if the coefficient of the phenology calendar for a single crop in a specified location, whether it is true or false, and if it is true, then the hypothesis were inferred and applied as such. Subsequently, the result was interpreted into the local languages in order to benefit the vast majority of the local potato farmers that are not literate in English language. This formed a foundation for both the farmers and policy makers to formulate informed decision or policy to harness these inherent potentials.

The search-light of this article was beamed at Jos North and Jos South Local Government Areas because of the unprecedented and un-planned growth with massive expansion experienced over the years; with visible evolution that is substantial in all its ramifications. The temperate climate, natural and beautiful topological attractions which caused the influx of admirers that brought about abrupt swollen population in the city centers. The two cities (Jos and Bukuru) have experienced improved infrastructures, despite the perennial in-security suffered in the past ten (10) years. The aftermath of these crises gave rise to clusters of settlements around the city centers and along the fringes thereby expanding their boundaries. Urbanization is considered as the most influential driver of land use and land cover changes The integration of remote sensing (RS) and Geographic Information System (GIS) techniques made it possible and effective tool for detecting urban sprawl and modeling of changes over a period of time. In order to maintain a systematic urban growth pattern at regional or global level, effective planning policy must be put in place at the local level of authority before gravitating to the centre. This aimed at quantifying the magnified urban growth in Jos North and Jos South LGAs of Plateau State using Shannon’s Entropy Approach to measure growth with the aim of determining the compactness or dispersion of built-up land growth in Jos and Bukuru urban centers. The entropy values obtained for this study was 0.15in2000 and 0.54 in the year 2015, while in the year 2024 the entropy value was 0.234; all are very close to the upper limit value of log(n) i.e.,-1.og. 4 indicating a dispersed growth. The study also emphasized the potential of LandSatTM data, Global landcover facility (GLCF) and(United State Geological Survey (USGS) data, which covered both Jos North and Jos South LGAs and environs for a period of 24 years and it has a path and row of P188 and R53. The findings facilitated the understanding of the present and projecting the future growth scenarios. Furthermore, preparation of effective planning and management strategies for controlled and systematic urban growth both at states and local government areas that have the tendency of growth be encouraged at all levels.

Election maleficent and the after-math of court litigatigations particularly, the 2019 and that of 2023 elections whereby, courts (which is usually at the beck-and-call of the incumbent) decides who won the ballots casted by the electorates in Nigeria; has lingered over time. The essence of this paper is to develop an Application Program Interface (API) which is user friendly with either simple or android phone for both single and bulk spatial query capabilities and automated voting using Jos South LGA of Plateau State, Nigeria as a proto-type. The proposed e-Voting system was designed with the goal of solving optimal challenges encountered by the traditional balloting; and some of which include precise rule-based on eligibility determination, appropriate module, robust access list creation and management as well as remote balloting. The application relies on the file geo-database obtained from National Population Commission (NPopC) but compatible with Relational Database Management System (RDBMS) on MySQL file format and the list of districts wards, localities, PUs and service area or routes to determine where each eligible voter’s vote shall be tallied. This solves the distance barrier that has denied many citizens from exercising their civil rights. Age and nationality are two other major factors used by the application to determine the eligibility of voters. The relationship among various entities in the database model is either one-one or one-many in a MySQL file format. The file geo-database (FGDB) obtained was for ease of integration into the three ends of the API.The WampServer being the ‘Desk-Top Server’ at the back end of the app controlled by the dBA; the mid-end is between the front-end and the dBA that convey all transactions; and the front-end is exclusively for the voter. But all operations are monitored and under the control of the database administrator (dBA). Each of this end is being managed by specific module interactively and seamlessly and robust enough to carry all election stakeholders along in election transactions before, during and after the election results are displayed with the RF-ID of the dBase, which is managed by the third party as it is done in other clients.