Application of Geospatial Techniques in Evaluating Spatial Variability of Commercially Harvested Mangoes in Bangladesh

Mango is widely known as a popular fruit in South Asia, including Bangladesh. The country significant producer of different local and exotic varieties mangoes geographic locations. Therefore, study maturity at diverse locations climatic conditions becomes critical for sustainable mango production. In responding to this need, evaluates the variability few selected commercial (Mangifera indica L.) their timeline with respect spatial extent (longitudinal-latitudinal variations), elevation profile, time. Remote sensing technology has been used horticultural applications phenology, maturity, harvesting time, mapping locational differences. doing so, we have employed remotely sensed data, such Shuttle Radar Topography Mission (SRTM) digital model (DEM) 30 m resolution, GPM IMERGM precipitation datasets (0.1 × 0.1 degree), NASA GLDAS (Global Land Data Assimilation System) surface skin temperature (0.25 0.25 Noah Surface Model L4 3-hourly soil moisture content degree). Alongside these, an intensive field data collection campaign carried out 2019 2020. It was found that 1° variations may result approximately 2–5 days delay harvesting. outcome enhance appropriate planning harvesting, production, commercialization selection specific setting harvest production system country.