Trellis Tension Monitoring Improves Yield Estimation in Vineyards
نویسندگان
چکیده
منابع مشابه
Automated Visual Yield Estimation in Vineyards
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...
متن کاملVisual Yield Estimation in Vineyards: Experiments with Different Varietals and Calibration Procedures
A crucial practice for vineyard managers is to control the amount of fruit hanging on their vines to reach yield and quality goals. Current vine manipulation methods to adjust level of fruit are inaccurate and ineffective because they are often not performed according to quantitative yield information. Even when yield predictions are available they are inaccurate and spatially coarse because th...
متن کاملModeling and Calibrating Visual Yield Estimates in Vineyards
Accurate yield estimates are of great value to vineyard growers to make informed management decisions such as crop thinning, shoot thinning, irrigation and nutrient delivery, preparing for harvest and planning for market. Current methods are labor intensive because they involve destructive hand sampling and are practically too sparse to capture spatial variability in large vineyard blocks. Here...
متن کاملcomprehension monitoring in l1&l2
هدف اصلی این تحقیق مقایسه و تمایز بین روشها و استراتژیهای خاص برای درک مطلب بهتر در زبان مادری و زبان دوم بوده است. در قدم اول میزان توانایی افراد در درک مطلب فارسی و انگلیسی اندازه گیری و سپس رده بندی شد. همچنین از دانش آموزان خواسته شد که در مورد روشها و استراتژیهایی که برای درک مطلب بهتر به کار برده بودند توضیح دهند. نتیجه این مرحله از تحقیق نشان داد که دانشجویان برای درک مطلب مطلوب در زبان ...
15 صفحه اولDaily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards
Wine grape quality and quantity are affected by vine growing conditions during critical phenological stages. Field observations of vine growth stages are too sparse to fully capture the spatial variability of vine conditions. In addition, traditional grape yield prediction methods are time consuming and require large amount grape samples. Remote sensing data provide detailed spatial and tempora...
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: HortScience
سال: 2009
ISSN: 0018-5345,2327-9834
DOI: 10.21273/hortsci.44.3.678