Evaluating the assessing results' rationality for farmland quality (FQ) is usually qualitative and based on farmers and experts' perceptions of soil quality and crop yield. Its quantitative checking still remains difficult and is likely ignored. In this paper, FQ in Xiuwu County, the Northwest Henan Province, China was evaluated by the gray relational analysis (GRA) method and the traditional a...

In this article we describe an application of small area estimation techniques to derive district level estimates of crop yield for paddy in the State of Uttar Pradesh using the data on crop cutting experiments supervised under Improvement of Crop Statistics (ICS) scheme and the secondary data from Population Census. The results show considerable improvement in the estimates generated by using ...

We investigate the nature of crop yield systemic risk and its implications for farmers' area insurance choices. A theory-grounded, normalized measure risk, R2, is developed made amenable to empirical analysis through logit link. The estimated on a large-scale, unit-level corn dataset. find that explains less than half total unit variability average, suggesting management effectiveness low. By r...

CONCEPTUAL FOUNDATIONS The Agricultural Risk Management SimProbabilistic budgeting methods are used in ulator (ARMS) is a microcomputer program ARMS to evaluate the impact of alternative designed to help users evaluate strategies for management strategies on annual net cash managing yield and price risk in crop farming flow probability distributions. Probabilistic operations. Risk management st...

To improve the accuracy of winter wheat yield estimation, the Crop Environment Resource Synthesis for Wheat (CERES-Wheat) model with an assimilation strategy was performed by assimilating measured or remotely-sensed leaf area index (LAI) values. The performances of the crop model for two different assimilation methods were compared by employing particle filters (PF) and the proper orthogonal de...

Climate variability adversely impacts crop production and imposes a major constraint on farming planning, mostly under rainfed conditions, across the world. Considering the recent advances in climate science, many studies are trying to provide a reliable basis for climate, and subsequently agricultural production, forecasts. The El Niño-Southern Oscillation phenomenon (ENSO) is one of the princ...

Agrarian sector in India is facing rigorous problem to maximize the crop productivity. More than 60 percent of the crop still depends on monsoon rainfall. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. The problem of yield prediction is a major problem that remains to be solved based on available data. Data ...