Vol. 12, Special Issue 12 (2023)

Author(s):
Laxman Navi, Kushal, Gangadhar K and Santosh Araganji

Abstract:
The global population is expected to reach 9.7 billion by 2050, necessitating a 60% increase in food production from current levels to meet the nutritional requirements of billions. The most substantial population growth is anticipated in developing countries, where individuals grapple with significant challenges such as socio-economic issues, food insecurity, and poverty. Thereby, today’s agriculture sector needs to produce higher yields and food grain production. Under changing climatic conditions, predicting the crop yield before harvest is crucial for handling natural disasters, ensuring food availability, predicting prices, fighting poverty etc., for policy planners and decision makers it helps to determine the levels of imports or exports needed for the food grains in a country (Noureldin et al., 2013). Remote sensing is a novel technology in which its data can be used to estimate crop yield. It furnishes data on crop cultivation and its surroundings, enabling the estimation of crop production. The utilization of remote sensing satellite data and crop simulation models is crucial for monitoring and managing crops, particularly in the context of food security measures.