Typical use cases of the crop simulation models consist of such operations as parametric identification, yield forecast and optimization, analysis of different technologies etc. All these tasks relate to multiple running of the model with several variants of input parameters and can be automated by means of polyvariant crop simulation framework which allows performing the multiple running in th...

Farm managers have to deal with many conflicting objectives when planning which crop to cultivate. Soil characteristics are extremely important when determining yield potential. Fertilization and liming are commonly used to adequate soils to the nutritional requirements of the crops to be cultivated. Planting the crop that will best fit the soil characteristics is an interesting alternative to ...

Applications regarding the crop allocation problem (CAP) are required tools for agricultural advisors to design more efficient farming systems. Despite this issue has been extensively treated by agronomists in the past, few methods tackle the crop allocation problem considering both the spatial and the temporal aspects of the CAP. In this paper, we precisely propose an original approach based o...

ABSTRACT Developments in meteorology over the last couple of decades have enabled significant improvements to be made in the accuracy of seasonal forecasts. This paper focuses on developing a model for cash crop planning that utilises these forecasts. It does this by determining the rate of growth of each crop as a function of heat units accumulated. This enables time to maturity to be determin...

GIS, remote sensing and Global positioning System are the most widely useful tools for land use planning and decision support system. Remotely sensed imagery is beneficial for agricultural production. It gives the accurate information of agricultural activities such as different crop identification and classification, crop condition monitoring, crop growth, crop area and yield estimation, mappi...

Remote sensing bears the potential to provide quantitative information of agricultural crops instantaneously and of a certain regional extent. Estimates of crop growth which are used for crop yield prediction, and timing of forthcoming harvest are important in agricultural planning and policy making. For non-optimal growing conditions, estimates of crop growth may be inaccurate. Crop monitoring...

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...

This work presents a model based on on-farm irrigation scheduling and the simple genetic algorithm optimization (GA) method for decision support in irrigation project planning. The proposed model is applied to an irrigation project located in Delta, Utah of 394.6 ha in area, for optimizing economic pro®ts, simulating the water demand, crop yields, and estimating the related crop area percentage...