This paper presents a method for crop yield forecast based on remote sensing and official data. The method uses a statistical approach to extract different pixels of smoothed NDVI data derived from MODIS sensor to be used as proxies for sugarcane yield estimation at a municipal scale. From 368 municipalities with yield's historical data from 2003 to 2012, three groups were created based on acre...

Precision agriculture (PA) and information technology (IT) are closely interwoven. The former usually refers to the application of nowadays’ technology to agriculture. Due to the use of sensors and GPS technology, in today’s agriculture many data are collected. Making use of those data via IT often leads to dramatic improvements in efficiency. For this purpose, the challenge is to change these ...

A GIS-based method is proposed for computation of temporal variation of sediment yield during isolated storm events. Data from three Indian catchments, namely Karso and Nagwa in Jharkhand and Kharkari in Rajasthan, have been used. The Integrated Land and Water Information System (ILW1S) GIS package was used for (a) catchment discretization into cell areas using grid networks, (b) evaluation of ...

In this paper, we first propose a maximum likelihood estimator (MLE) of a change point in highyield processes, where the only assumption is that the change belongs to a family of monotonic changes. Following a signal from the cumulative count of conforming (CCC) control chart, the performance of the proposed monotonic change-point estimator is next evaluated by comparing its performances to the...

in this study, yield-water and profit function was used to obtain water demand function in agriculture sector. the results showed that the ratio of actual to potential evapotranspiration had positive, significant effecton the ratio of actual to potential yield for wheat and barley. also, square ratio of actual to potential evapotranspiration had negative, significant relationship. after estimat...

This paper is concerned with the estimation of the nominal yield curve by means of two complementary approaches. One approach models the yield curve directly while the other focuses on a model of the forward rate from which a description of the yield curve may be developed by integration of the forward rate specification. This latter approach may be broadly interpreted as a generalisation of th...

The accurate and reliable online measurement of the product yield is very essential for the control and optimization of the biodiesel process. A biodiesel yield prediction model based on the fast decorrelated neural network ensembles (FDNNE) was established to enhance the estimated performance. The random vector functional link (RVFL) networks were inserted into the fast decorrelated neural net...

A Geographical Information System (GIS) based method is proposed and demonstrated for the identification of sediment source areas and the prediction of storm sediment yield from catchments. Data from the Nagwa and Karso catchments in Bihar (India) have been used. The Integrated Land and Water Information System (ILWIS) GIS package has been used for carrying out geographic analyses. An Earth Res...

Cotton yield varies spatially within a field. The variability can be caused by various production inputs such as soil properties, water management, and fertilizer application. Airborne multispectral imaging is capable of providing data and information to study effects of the inputs on yield qualitatively and quantitatively in a timely and cost-effective fashion. A 10-ha cotton field with irriga...