A BENCH-MOUNTED MOWING MACHINE FOR TURF EXPERIMENTS
نویسندگان
چکیده
منابع مشابه
Some Experiments With Turf On Granular Materials
The maintenance of turf on shoulders, berms, and ditches of our highways and on airports has received little attention until very recent years. Frequently a good turf is desirable where the soil has been stabilized or where granular materials are necessary to obtain sufficient supporting power for the anticipated load. Under such conditions attention must be given to the factors which influence...
متن کاملSML-Bench – A Benchmarking Framework for Structured Machine Learning
The availability of structured data has increased significantly over the past decade and several approaches to learn from structured data have been proposed. These logic-based, inductive learning methods are often conceptually similar, which would allow a comparison among them even if they stem from different research communities. However, so far no efforts were made to define an environment fo...
متن کاملSynthetic Turf Versus Natural Turf for Playing Fields
This report describes research we performed for the San Francisco Department of the Environment (SFE) to assist in decisionmaking regarding the purchasing of synthetic turf. Synthetic turf is becoming increasingly popular as a surface for playing fields. The products have improved and many competing brands are now available, offering a range of choices of materials. These fields offer a number ...
متن کاملMachine Interval Experiments
A statistical experiment is a mathematical object that provides a framework for statistical inference, including hypothesis testing and parameter estimation, from observations of an empirical phenomenon. When observations in the continuum of real numbers are not empirically measurable to infinite precision and when conventional floating-point computations used in the inference procedure are not...
متن کاملMachine Learning Experiments for Textual Entailment
We present a system that uses machine learning algorithms to combine features that capture various shallow heuristics for the task of recognizing textual entailment. The features quantify several types of matches and mismatches between the test and hypothesis sentences. Matching features represent lexical matching (including synonyms and related words), part-ofspeech matching and matching of gr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Canadian Journal of Plant Science
سال: 1971
ISSN: 0008-4220,1918-1833
DOI: 10.4141/cjps71-068