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VEGETATION INDICES FOR IRRIGATED CORN MONITORING [PDF]

Engenharia Agrícola, 2020
Monitoring of large agricultural lands is often hampered by data collection logistics at field level. To solve such a problem, remote sensing techniques have been used to estimate vegetation indices, which can subsidize crop management decision-making ...
Francisco C. G. Alvino, Catariny C. Aleman, Roberto Filgueiras, Daniel Althoff, Fernando F. da Cunha   +4 more
doaj   +5 more sources

Rapid Identification of Main Vegetation Types in the Lingkong Mountain Nature Reserve Based on Multi-Temporal Modified Vegetation Indices [PDF]

Sensors, 2023
Nature reserves are among the most bio-diverse regions worldwide, and rapid and accurate identification is a requisite for their management. Based on the multi-temporal Sentinel-2 dataset, this study presents three multi-temporal modified vegetation ...
Wenjing Fang, Hongfen Zhu, Shuai Li, Haoxi Ding, Rutian Bi   +4 more
doaj   +2 more sources

Drought Monitoring With Spectral Indices Calculated From Modis Satellite Images In Hungary [PDF]

Journal of Environmental Geography, 2015
In this study a new remote sensing drought index called Difference Drought Index (DDI) was introduced. DDI was calculated from the Terra satellite’s MODIS sensor surface reflectance data using visible red, near-infrared and short-wave-infrared spectral ...
Gulácsi András, Kovács Ferenc
doaj   +4 more sources

Cotton Yield Estimation Based on Vegetation Indices and Texture Features Derived From RGB Image [PDF]

Frontiers in Plant Science, 2022
Yield monitoring is an important parameter to evaluate cotton productivity during cotton harvest. Nondestructive and accurate yield monitoring is of great significance to cotton production.
Yiru Ma, Lulu Ma, Qiang Zhang, Changping Huang, Xiang Yi, Xiangyu Chen, Tongyu Hou, Xin Lv, Ze Zhang   +8 more
doaj   +2 more sources

MONITORING THE VEGETATIVE STATE OF COFFEE USING VEGETATION INDICES

Engenharia Agrícola
Vegetation indices are a quick and practical alternative for monitoring crops due to the availability of satellite images on various platforms for free, allowing a quick analysis of the vegetative state of the crop and interventions in the field in case ...
Vitor Chedid, Jorge W. Cortez, Sálvio N. S. Arcoverde   +2 more
doaj   +2 more sources

State of Major Vegetation Indices in Precision Agriculture Studies Indexed in Web of Science: A Review

Agriculture, 2023
Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To provide a concise and up-to-date review of vegetation indices in precision agriculture, this study focused
Dorijan Radočaj, Ante Šiljeg, Rajko Marinović, Mladen Jurišić   +3 more
doaj   +1 more source

UAV-Derived Spectral Indices for the Evaluation of the Condition of Rye in Long-Term Field Experiments

Agriculture, 2022
The aim of the study was to evaluate the effect of various fertilization treatments, including nitrogen, potassium and phosphorus fertilization, in long-term experiments for selected UAV (unmanned aerial vehicle)-derived spectral vegetation indices (NDVI—
Elżbieta Wójcik-Gront, Dariusz Gozdowski, Wojciech Stępień   +2 more
doaj   +1 more source

Estimating the Reduction in Cover Crop Vitality Followed by Pelargonic Acid Application Using Drone Imagery

Agronomy, 2023
Cultivation of cover crops is a valuable practice in sustainable agriculture. In cover crop management, the method of desiccation is an important consideration, and one widely used method for this is the application of glyphosate.
Eliyeh Ganji, Görres Grenzdörffer, Sabine Andert   +2 more
doaj   +1 more source

UAV Hyperspectral Data Combined with Machine Learning for Winter Wheat Canopy SPAD Values Estimation

Remote Sensing, 2023
Chlorophyll is an important indicator for monitoring crop growth and is vital for agricultural management. Therefore, rapid and accurate estimation of chlorophyll content is important for decision support in precision agriculture to accurately monitor ...
Qi Wang, Xiaokai Chen, Huayi Meng, Huiling Miao, Shiyu Jiang, Qingrui Chang   +5 more
doaj   +1 more source

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

Crop Journal, 2020
Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield. Biomass is also a key trait in increasing grain yield by crop breeding.
Xiuliang Jin, Zhenhai Li, Haikuan Feng, Zhibin Ren, Shaokun Li   +4 more
doaj   +1 more source