Pre-harvest wheat yield and production estimation for the Punjab, India

Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information

“…GDD is computed as the accumulation of daily average temperature since the seeding day or the emergence day, depending on the model. It is largely used for local scale crop modeling (e.g., Claverie et al, 2012 andLiu et al, 2010;Lobell et al, 2003;Ma et al, 2013), but has also been employed in global or regional crop forecasting models (Dubey et al, 1994;Idso, Pinter, Hatfield, Jackson, & Reginato, 1979;Qian, De Jong, Warren, Chipanshi, & Hill, 2009;Raun et al, 2001;Walker, 1989). Additionally, the GDD has been used to smooth the time series of various biophysical variables by providing a better temporal consistency and coherence (Duveiller, Baret, & Defourny, 2013).…”

Variability of agro climatic regime over homogeneous monsoon regions of India — El Niño and La Niña events

“…It is reported that the climate effects reflect in regional weather and which in turn affects the crop yield (Solow et al, 1998). In this context the work of Yokoyama Shigeki (2002) is worth mention because the El Niño induced drought is a major agricultural risk in tropical Asia and that the remotely sensed images offer the great potential in estimating the crop yields over large areas (Pinter et al, 1981;Dubey et al, 1994;Kallubarme et al, 2003 andPatel et al, 2006). Zubair (2002) studied on the impact of El Niño Southern Oscillation (ENSO) which led to a decline in the rice yield for the Yala season and an increase in the Maha season in Srilanka.…”

Yield estimation in farmers' fields at Alipur Block of Delhi by using crop model and satellite data

“…The early attempts directed towards wheat production forecast in India using remote sensing based acreage estimates and yield from Crop Cutting Experiments (CCE) were in Karnal in 1983-84 [9] and in Patiala Tehsil (Punjab State) during 1984-85 cropping season [10]. The operational utility of CCE based yield relation was found limited, therefore, further studies were carried out, using direct regression of district yields with corresponding area weighted average spectral indices [11]. During the last decade, considerable work has been carried out in India in the spectral response and yield relationships of different crops at Space Application Centre, Ahmedabad, under Crop Acreage and Production Estimation (CAPE) project.…”