Agrometeorological wheat yield prediction in rainfed Potohar region of Pakistan

The reliable early estimates of production had always been the prime concerns of growers on one hand and planners as well as policy makers for import/export on the other hand. This study represents a linear regression model making use of meteorological parameters at critical stages of crop’s life cycle to predict the wheat yield about two months earlier than the harvesting. A statistical based software “Statistical Package for Social Sciences” (SPSS) and MS-excel were employed as working tools. Decadal (ten days) agrometeorological data for Rabi season (for the period 1993-2011) being observed at Regional Agromet Centre, Rawalpindi have been utilized. The parameters studied for correlation were mainly rainfall (amount and days), air temperature (minimum, maximum, mean), heat units (on phenological basis), relative humidity, wind speed, sunshine duration, reference crop evapotran-spiration etc. Finally, minimum temperature, sunshine duration and rainfall amount in January (tillering and stem extension phase) proved to be the reliable predictors for the final yield. The correlation coefficients for these parameters on individual basis resulted within the acceptable range where as in aggregate it remained 0.87, an optimistic value.

REGIONAL DISTRIBUTION OF MAIN AGROMETEOROLOGICAL DISASTERS AND THEIR MITIGATION COUNTERMEASURES IN CHINA

It is described in this paper the regional distribution of main meteorological disasters and their important effects on agricultural production of China, and summarizes the controlling system of agrometeorological disasters and its basic principles and the research achievements in this field.

A Brief Review on Application of Information Technique to Agrometeorological Disaster Reduction

Disaster reduction strategy of agrometeorological disasters is a very complicated systematic project. The system is divided into two subsystems: agrometeorological disaster subsystem and dis aster reduction strategy subsystem. The agrometeorological disaster subsystem incIudes the whole process of disaster from occurrence, development to extinction. The subsystem of disaster reduction strategy is strategy measures included prevention, resistance and remedy of disaster The system involves monitoring, forecasting, prevention, resistance, control, loss assessment of disaster and efficiency analysis of disaster reduction. Therefore, modern information techniques (remote sensing, artificial intelligence, crop simulation etc. ) are necessary for improving the a bility of prevention and reduction of

Research on the Construction of Agricultural Meteorological Disaster Prevention Service System in Henan Province Under the Rural Revitalization Strategy

The rural revitalization strategy regards the construction of a modern meteorological service system as an important part of the implementation of a new round of high-standard farmland construction planning. Preventing agricultural meteorological disasters is a prerequisite to ensure that the total agricultural output of Henan Province remains stable and the transformation of Henan Province from a major agricultural province to a strong agricultural province. Therefore, it is necessary to study and construct the agricultural meteorological disaster prevention service system in Henan Province. Through research and documentation, based on the perspective of rural revitalization strategy, the status and problems of the construction of the agricultural meteorological prevention defense service system in Henan Province were studied, and countermeasures and suggestions for optimizing the agricultural meteorological disaster prevention service system in Henan Province were put forward, hoping to provide decision-making reference for agricultural development in Henan Province.

Climate Characterization of the Machado-Mg Region through Geotechnology Techniques and Tools

The characteristics of a region and its environmental changes are directly associated with the characteristics of the climate and the changes that occur in it. The importance of the study of the climate of a region is widely known in agriculture, by the size of the impact that the climate has on the productivity and final quality of the products. From the studies of these spatial and temporal changes in climatic and environmental information, excellent results have been obtained in understanding the variability of atmospheric phenomena that occur throughout. The objective of the present work was to perform the climatic characterization of the Machado-MG region, analyzing data collected on the elements of the climate, applying methodologies that allow its spatialization, from geotechnology tools, more precisely, the techniques of interpolation and manipulation of spatial data in the Geographic Information Systems (GIS) environment. For this purpose, it has been used the climatic data obtained from meteorological stations of the National Institute of Meteorology-INMET, located in the state of Minas Gerais, referring to the monthly and annual averages of a historical series of 55 years (1961-2015). The results obtained allowed to characterize the climate of the municipality, which presented an average temperature around 15°C to 25°C and with average rainfall between 100 - 200 mm in the rainiest periods. The relative humidity of the air presents throughout the year values in the average of 60% to 80%. From the spatialization maps of temperature, precipitation and relative humidity of the air, it becomes possible to analyze the spatial behavior of the climatic elements and thus to have the perception of the climate dynamics in the region.

Climate Suitability Analysis of Tobacco in Nanxiong

Tobacco is a economic pillar in Nanxiong City,and its yield and quality are closely related to climatic conditions.By analyzing the relationship between the growth of tobacco and climatic conditions,and comparing with actual climate in Nanxiong,the best climatic suitability for tobacco planting in Nanxiong was found out.Through comparative analysis between yield,quality of tobacco in recent years and climatic condition in Nanxiong,it was obtained that stable temperature,moderate rainfall and sufficient sunshine were the key meteorological factors to ensure the yield and quality of tobacco,while meteorological disasters such as hail and rainstorm could reduce or even eliminate the yield of tobacco.

Security Analysis of a Park-level Agricultural Energy Network Considering Agrometeorology and Energy Meteorology

China’s industrial manufacturing industry is well developed,but its agriculture is primitive.The only way to solve this problem is to improve through modern agriculture.The cross integration of new energy development and modern agriculture is becoming more and more critical.However,the research on the interaction between the meteorological disaster of facility agriculture and the power supply security of the integrated energy supply system has not formed a systematic theoretical system,which challenges the collaborative security of the facility agriculture and energy system.In this paper,energy meteorology and agrometeorology are considered and modeled,and the static security of a park-level agricultural energy network is simulated and analyzed under different weather conditions.

Calibration and validation of FAO-AquaCrop model to estimate the total biomass and yacon root yield

Due to the current water scarcity in the world,it is extremely important to improve the use of this natural and exhaustible resource in agriculture,by contributing to increase agricultural production and sustainability.Several models of crop growth simulation were developed to predict the edaphoclimatic effects on crop yield.These models are calibrated and validated for a given region using the data generated from field experiments.Therefore,the objective of this study was to calibrate and validate the FAO AquaCrop model for yacon(Smallanthus sonchifolius)crop in a tropical climate.The experiment was conducted in an experimental area located in the municipality of Ibatiba,state of Espírito Santo(Brazil)during the years of 2013 and 2014.The calibration was done using the Autumn planting and validation with the Winter and Spring plantings.For the statistical analysis,the coefficient of determination,Willmott concordance index,bias for the systematic error,root mean square error and the mean absolute error to test the model performance were used.In general,the FAO AquaCrop model predicted the root yield,total biomass and harvest index with acceptable accuracy,and with deviations of less than 6%for total and root biomass.Late planting of yacon showed a reduction in yield as well as total biomass.

Service design for climate-smart agriculture

Holistic information systems for climate-smart agriculture demands the seamless integration of various categories of climate,meteorological and weather data.Any actor in the agricultural value chain may harness weather forecasts at the short and medium-range,local weather history,and prevailing climatic conditions,to inform decision-making.Weather is fundamental to many day-to-day operations,especially at farm-level,influencing decision-making at various spatial and temporal scales.Many operational decisions ideally require hyper-localized service provision.In practice,integrating weather information into decision-support services demands a comprehensive understanding of various categories of weather-related data,their genesis,as well as the specific standards and data formats used by the meteorological community.This paper considers the weather as a crucial context for the delivery of farm-level operational services in smart agriculture,highlighting critical issues for reflection by system designers during the service design and implementation phases.