Horticulture crops including vegetables form an important component of food and a source of income to the farmers. These commodities undergo severe f luctuat ions both in product ion and consumption, thus facing unreliable price and market. Reliable and timely estimates of production of horticultural crops provide information in market planning and export. Satellite-based remote sensing (RS) has been one of the means for assessing the supply scenario. Efforts have been made to estimate the area and yield of major foodgrains like rice and wheat (Nageswara Rao and Rao, 1985; Patel et al. , 1991; SAC, 1995), mulberry (Nageswara Rao et al., 1991), fruit crops like mango (Yadav et al . , 2002), vegetable crop like potato (Ray et al . , 2000) and commercial plantations like coffee (Nageswara Rao et al., 2001) in India. These studies indicate that acreage and production estimation and location of the storage facilities for these crops are possible using RS and Geographic Information System (GIS) tools. While these studies are encouraging, there is a need for an in depth assessment of the capability of these tools in obtaining reliable estimates of production, monitoring of growth parameters and for obtaining in-season market intelligence on these crops. In the present study we have made an attempt to evaluate the use of Indian Remote Sensing Satellite (IRS) -ID Linear Imaging Self-Scanning (LISS)-III sensor to estimate the production of fruit and vegetable crops grown and identify the likely date of harvesting of vegetable crops.