Evapotranspiration (ET) may account for up to 70% of the annual precipitation even in humid region. Understanding ET is essential management water resource, crop requirement as well irrigation designs/scheduling etc. Therefore, this study tries analyze potential over Enugu State using meteorological data from weather stations and compared results obtained with that satellite remote sensed techn...

Based on official statistics, the analysis of economic efficiency production and sale root vegetables example carrots beets in Moscow region for period 2012-2016 was carried out. Separate indicators largest agricultural holdings are presented: CJSC "Bunyatino" "Kulikovo". It is indicated that conditions import substitution, average annual level profitability by industrial technologies 27-28%. I...

Rainfall onset date (ROD) influences farmer planting decisions, yet there is a dearth of information on the extent to which ROD crop yield. This study assesses effect yield four crops (Maize, millet, rice, and sorghum) in Ghana. It uses yields from Ministry Food Agriculture (MoFA) Organization (FAO), employs Decision Support System for Agro-technology Transfer (DSSAT) model simulate maize 1985 ...

By 2050, the world population is likely to be 9.1 billion, the CO(2) concentration 550 ppm, the ozone concentration 60 ppb and the climate warmer by ca 2 degrees C. In these conditions, what contribution can increased crop yield make to feeding the world? CO(2) enrichment is likely to increase yields of most crops by approximately 13 per cent but leave yields of C4 crops unchanged. It will tend...

Soil drying and re-wetting (DRW) occurs at varying frequencies and intensities during crop production, and is deliberately used in water-saving irrigation techniques that aim to enhance crop water use efficiency. Soil drying not only limits root water uptake which can (but not always) perturb shoot water status, but also alters root synthesis of phytohormones and their transport to shoots to re...

The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we predicted the yield of each variety in each of 6,490 observed subregions of the Midwest. Further...

Operational crop yield forecasting is mostly achieved with empirical statistical regression equations relating regional yield with predictor variables, termed “factors”. Regional yield (the “dependent variable”) refers to average yield over districts, provinces or, more rarely, whole countries; they are provided by national statistical services. The factors can be any combination of raw environ...

Risk theory tells us if an insurer can effectively pool a large number of individuals to reduce the total risk, he then can provide the insurance by charging a premium close to the actuarially fair rate. There is, however, a common belief that the risk can be effectively pooled only when the random loss is independent, so that crop insurance markets cannot survive without government subsidy bec...

Data Mining is the process of extracting useful information from large datasets. Data mining techniques till now used in business and corporate sectors may be used in agriculture for data characterization, discrimination and predictive and forecasting purposes. Data mining in agriculture is a novel research field. Recently Knowledge Management in agriculture facilitating extraction, storage, re...

The need for precise and responsive management of N fertilizer in corn production is compelling for both economic and environmental reasons, but the optimum N rate remains an elusive notion. Economically optimal N rates (EONR) in much of North America may range from zero to 225 lb/A (Scharf et al., 2006; Sawyer et al. 2006), and may vary as the growing season progresses (van Es et al., 2007). M...