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Low-Cost Ground-Based NDVI Sensor Device for Manual and Automated Crop Monitoring

https://doi.org/10.2139/ssrn.4740378
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Assessing the performance of NDVI as a proxy for plant biomass using non-linear models: a case study on the Kerguelen archipelago
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The normalised difference vegetation index obtained from agrometeorological standard radiation sensors: a comparison with ground-based multiband spectroradiometer measurements during the phenological development of an oat canopy
inferredcites →https://doi.org/10.1007/s00704-009-0103-3openalex-extracted
Comparison of satellite- and ground-based NDVI above different land-use types
inferredcites →https://doi.org/10.1007/s11119-022-09925-zopenalex-extracted
Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico
inferredcites →https://doi.org/10.1007/s12665-022-10730-0openalex-extracted
Handheld NDVI sensor-based rice productivity assessment under combinations of fertilizer soil amendment and irrigation water management in lower Moshi irrigation scheme, North Tanzania
inferredcites →https://doi.org/10.1016/j.agrformet.2017.11.003openalex-extracted
NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types
inferredcites →https://doi.org/10.1016/j.atech.2021.100025openalex-extracted
Pineapple biomass estimation using unmanned aerial vehicle in various forcing stage: Vegetation index approach from ultra-high-resolution image
inferredcites →https://doi.org/10.1016/j.compag.2009.08.001openalex-extracted
Development of an optical sensor for crop leaf chlorophyll content detection
inferredcites →https://doi.org/10.1016/j.compag.2021.106038openalex-extracted
Using NDVI for the assessment of canopy cover in agricultural crops within modelling research
inferredcites →https://doi.org/10.1016/j.jag.2013.07.001openalex-extracted
The relationship between phytomass, NDVI and vegetation communities on Svalbard
inferredcites →https://doi.org/10.1016/j.jhydrol.2020.124905openalex-extracted
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
inferredcites →https://doi.org/10.1016/j.rsase.2020.100414openalex-extracted
Limitations of cloud cover for optical remote sensing of agricultural areas across South America
inferredcites →https://doi.org/10.1016/j.rse.2012.03.012openalex-extracted
Ground-based Network of NDVI measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biomes
inferredcites →https://doi.org/10.1016/j.rse.2013.01.010openalex-extracted
Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements
inferredcites →https://doi.org/10.1016/j.rse.2013.12.018openalex-extracted
Changes in vegetation photosynthetic activity trends across the Asia–Pacific region over the last three decades
inferredcites →https://doi.org/10.1016/j.rse.2014.04.015openalex-extracted
Monitoring multi-layer canopy spring phenology of temperate deciduous and evergreen forests using low-cost spectral sensors
inferredcites →https://doi.org/10.1016/j.rse.2019.111402openalex-extracted
Remote sensing for agricultural applications: A meta-review
inferredcites →https://doi.org/10.1038/s41598-021-00464-7openalex-extracted
Silica fertilization improved wheat performance and increased phosphorus concentrations during drought at the field scale
inferredcites →https://doi.org/10.1071/fp16163openalex-extracted
Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring
inferredcites →https://doi.org/10.1080/0143116021000026779openalex-extracted
The empirical line method for the atmospheric correction of IKONOS imagery
inferredcites →https://doi.org/10.1080/01431160701352162openalex-extracted
Empirical proof of the empirical line
inferredcites →https://doi.org/10.1080/014311699211994openalex-extracted
The use of the empirical line method to calibrate remotely sensed data to reflectance
inferredcites →https://doi.org/10.1080/15538362.2019.1650409openalex-extracted
Organic Compounds Determined at Different Levels of Ripening of the Pineapple ( Ananas comosus L. Merr .) Cv Cayenne in Two Cultivation Systems under Subtropical Conditions
inferredcites →https://doi.org/10.1155/2012/582028openalex-extracted
Evaluation of a Reduced Cost Active NDVI Sensor for Crop Nutrient Management
inferredcites →https://doi.org/10.1186/s13007-023-00981-8openalex-extracted
Development of an accurate low cost NDVI imaging system for assessing plant health
inferredcites →https://doi.org/10.1515/opag-2020-0065openalex-extracted
Seasonal normalized difference vegetation index responses to air temperature and precipitation in Baghdad
inferredcites →https://doi.org/10.1556/crc.39.2011.1.15openalex-extracted
NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions
inferredcites →https://doi.org/10.29003/m4174.978-5-317-07235-3openalex-extracted
World Reference Base for Soil Resources. International soil classification system for naming soils and creating legends for soil maps
inferredcites →https://doi.org/10.3389/fpls.2016.00666openalex-extracted
A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization
inferredcites →https://doi.org/10.3390/agriculture13081467openalex-extracted
A Cost-Effective Portable Multiband Spectrophotometer for Precision Agriculture
inferredcites →https://doi.org/10.3390/agriculture6010004openalex-extracted
A Programmable Aerial Multispectral Camera System for In-Season Crop Biomass and Nitrogen Content Estimation
inferredcites →https://doi.org/10.3390/rs11020112openalex-extracted
Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of Rice and Wheat Crops Using Small UAVs
inferredcites →https://doi.org/10.3390/rs12121936openalex-extracted
Predicting Soybean Yield at the Regional Scale Using Remote Sensing and Climatic Data
inferredcites →https://doi.org/10.3390/rs12193136openalex-extracted
Applications of Remote Sensing in Precision Agriculture: A Review
inferredcites →https://doi.org/10.3390/s21113915openalex-extracted
Integration of Radiometric Ground-Based Data and High-Resolution QuickBird Imagery with Multivariate Modeling to Estimate Maize Traits in the Nile Delta of Egypt
inferredcites →https://doi.org/10.3390/w12082095openalex-extracted
The Application of Ground-Based and Satellite Remote Sensing for Estimation of Bio-Physiological Parameters of Wheat Grown Under Different Water Regimes
inferredcites →https://doi.org/10.34101/actaagrar/1/12144openalex-extracted
Leaf reflectance characteristics and yield of spring oat varieties as influenced by varietal divergences and nutritional supply
inferredcites →https://doi.org/10.4314/jab.v77i0.13openalex-extracted
Effet de l’urée et du NPK 15-15-15 perlés et super granulés sur la productivité des variétés de riz IR841 et NERICA-L14 en zone de bas-fond au Sud-Bénin
inferredcites →https://doi.org/10.5194/bg-12-4149-2015openalex-extracted
Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors
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