Bayesian network is a powerful tool to represent and deal with uncertain knowledge. There exists much uncertainty in crop or animal disease. The construction of Bayesian network need much data and knowledge. But when data is scarce, some methods should be adopted to construct an effective Bayesian network. This paper introduces a disease diagnosis model based on Bayesian network, which is two-l...

Estimating actual crop water requirement and irrigation schedule are essential for designing of the irrigation systems, storage construction and water conveyance structures. Many models have developed for estimating crop water requirement. Although most of these methods need different climatic parameters, providing and forecasting all of these parameters always are not available. Most of the ti...

Phosphorus is the second most important macro nutrient required by the plants for its optimum growth and yield. But it is considered to be a most limiting factor of many crop production systems, due to its unavailability of soluble forms in the soils. About 80% of applied P fertilizers are immobilized due to the formation of complex with Al or Fe in acidic soils or Ca in calcareous soils. An al...

We present the initial setup of the Lofar Agro project that concentrates on monitoring micro-climates in a crop field. In addition to the agronomic experiment, Lofar Agro aims at gathering statistics on the wireless sensor network itself. These statistics will form the basis for simulations of algorithms in wireless sensor networks and will be distributed. 1. PRECISION AGRICULTURE In the past f...

Crop water requirement is essential for agricultural water management, which is usually available for crop growing stages. However, crop water requirement values of monthly or weekly scales are more useful for water management. A method was proposed to downscale crop coefficient and water requirement from growing stage to substage scales, which is based on the interpolation of accumulated crop ...

Plant RNA interference has been a very well studied phenomenon since its discovery. We are well versed with the types of small noncoding RNAs that are prevalent in the plant systems and their pathways of biogenesis and subsequent actions. However, apart from model plant systems such as Arabidopsis and Oryza, very little information is available regarding the other members of the RNA interferenc...

background and objectives: although more than 90 percent of consumed water used in agricultural sector, water is the major limiting factor for agricultural development in iran. over the past few years increasing agricultural crop water productivity thorough deficit irrigation methods has been studied by agricultural researchers and planners. although lorestan province is one of the major produc...

The current challenges crop production faces in the context of required yield increases while reducing fertilizer, water and pesticide inputs have created an increasing demand for agronomic knowledge and enhanced decision support guidelines, which are difficult to obtain on spatial scales appropriate for use in a multitude of global cropping systems. Nowadays crop models are increasingly being ...

Factors affecting forage production, quality, marketing, and utilization include urbanization; availability of crop production resources; approaches to environmental stewardship; and other social and economic forces. Two factors of particular interest are 1) availability of pesticides for use in alfalfa and other forage crops; and 2) new laboratory procedures for predicting forage nutritional v...