Hyperspectral vegetation indexes (VIs) were used to detect stressed crop areas in drip irrigated tomato subjected to waterlogging. The crop was quite uniform throughout the field until the beginning of flowering, as confirmed by spectroradiometric readings and agronomic traits. From 78 days after transplanting (DAT) (42 days before harvest), a spot area of 500 m2 showed increasing excess soil moisture due to topsoil depression, which induced evident waterlogging. Leaves first yellowed (90 DAT) and eventually plants died (100 DAT). The plants surrounding this spot area were affected in their physiological, spectroradiometric and productive responses. Regressions among spectral VIs and crop yield, and photosynthesis (A) and stomatal conductance (gs) were highly significant. The best relationships were found with Soil-Adjusted Vegetation Index, Optimized Soil-Adjusted Vegetation Index, Transformed Soil-Adjusted Vegetation Index, Structure Intensive Pigment Index and Normalized Difference Vegetation Index. Maps of photosynthesis and VIs were roughly similar to the spatial distribution of crop yield. Spectroradiometry was proved efficient as early warning tool for detecting over-irrigation at the field scale. Proximal sensing techniques may contribute to improve (i) irrigation efficiency, with positive effects on tomato crop productivity and water saving, and (ii) the accuracy of remote sensing surveys aimed at estimating tomato crop yield.
Precision Agriculture – Springer Journals
Published: Apr 18, 2015
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud