We present a vision system that automatically predicts yield in vineyards accurately and with high resolution. Yield estimation traditionally requires tedious hand measurement, which is destructive, sparse in sampling, and inaccurate. Our method is efficient, high-resolution, and it is the first such system evaluated in realistic experimentation over several years and hundreds of vines spread o...

A remotely-piloted Gas Xcell mini-helicopter with GPS, wireless Ethernet, and a machine vision system was flown over orange trees to take overhead images. The individual tree images The authors are solely responsible for the content of this technical presentation. The technical presentation does not necessarily reflect the official position of the American Society of Agricultural and Biological...

Forecasting the grape yield of vineyards is of critical importance in the wine industry, as it allows grape growers to more accurately and confidently invests in capital equipment, negotiate pricing, schedule labour and develop marketing strategies. Currently, industry standard forecasts are generated by manual sampling of bunch weights, grape size, grape numbers and seasonal predictions which ...

In this present paper, a new counting algorithm for tangerine yield estimation is adapted to obtain better results with respect to partially / semi partially occluded tangerine and its clusters. To optimize tangerine counting, and to minimize typical background noises from orchards (i.e. bare soil, weeds, and man-made objects), a tangerine fruit counting algorithm is implemented, and compared b...

We propose techniques for accurate and computationally viable estimation of timing yield using circuit-level Monte Carlo simulation. Our techniques are based on well-known variance reduction approaches from Monte Carlo simulation literature. By adapting these techniques to the yield estimation problem, one can reduce the number of Monte Carlo samples required in order to estimate yield within a...

A generic method to develop a defect monitoring system for IC processes, A comparison of new and old algorithms for a mixture estimation problem, The numerical evaluation of the maximum-likelihood estimate of a subset of mixture proportions, [19] LOQO an efficient implementation of an interior-point method for large scale linear and/or quadratic programming problems, available via ftp://elib.zi...

estimation of fillet biochemical composition and processing yield is primary needs for fish processing. present study was aimed to investigate for determining fillet biochemical composition and processing yield of bighead (hypophthalmichthys nobilis) for nutritional labeling and economical estimation of its products by regression equations. for this purpose 55 specimen of bighead were applied i...

The spatial variation of crop yield was mainly caused by the complicated factors, such as soil and land factors. Based on sound theoretical reasoning, the paper performed an exploratory investigation of the relationship between the spatial distribution of yield measurement about 849 samplings on Thiessen polygon. Reasonable sample size or sampling density is an assurance of yield estimation sur...

Alfalfa is critical to global food security, and its data abundant in the U.S. nationally, but often scarce locally, limiting potential performance of machine learning (ML) models predicting alfalfa biomass yields. Training ML on local-only results very low estimation accuracy when datasets are small. Therefore, we explore synthesizing non-local estimate yields labeled as high, medium, or low. ...