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Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico
Better targeting of fertilizer application can result in yields that meet or exceed those achieved without improved targeting while reducing total...
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Minimizing active canopy sensor differences in nitrogen status diagnosis and in-season nitrogen recommendation for maize with multi-source data fusion and machine learning
Active canopy sensors (ACSs) are great tools for diagnosing crop nitrogen (N) status and grain yield prediction to support precision N management...
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Spatial Variability of NDVI and SPAD for Variable- and Fixed-Rate Fertilization in Olive Orchards
The aim of this study was to determine the spatial variability of fertilization requirements by using normalized difference vegetation index (NDVI)...
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Prediction of grain yield and nitrogen uptake by basmati rice through in-season proximal sensing with a canopy reflectance sensor
The present study was conducted to establish prediction models for grain yield and nitrogen (N) uptake using normalized difference vegetation index...
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Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers
BackgroundThe characteristics of light source have an important influence on the measurement performance of canopy reflectance spectrometer. The size...
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Physiological Indices, Productivity and Profitability Assessment at Varying Nitrogen Levels of Wheat Under Conservation Agriculture
Conservation agriculture (CA) is a promising management practice adopted by spring wheat growers in the Indo-Gangetic plains (IGPs) of India,...
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Real-time nitrogen management using decision support-tools increases nitrogen use efficiency of rice
Several decision support tools have been proposed for precision nitrogen (N) fertilizer application in rice ( Oryza sativa L.) to increase nitrogen...
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Nitrogen Management Strategies to Improve Crop Performance, Recovery Efficiency and Their Relationship with Physiological Indices in Dry Direct-Seeded Rice
Nitrogen (N) recovery efficiency in dry-direct seeded rice (DSR) is less than 30%, hence, requires special consideration. Nitrogen management...
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Develo** an efficiency and energy-saving nitrogen management strategy for winter wheat based on the UAV multispectral imagery and machine learning algorithm
Remote sensing has been used for assisting the precision nitrogen (N) management in wheat ( Triticum aestivum ) production. This study aimed to develop...
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Digital Insights into Plant Health: Exploring Vegetation Indices Through Computer Vision
The earth’s vegetation plays a pivotal role in the ecosystem equilibrium and serves as an environmental health indicator. Monitoring vegetation is... -
Optical Sensing and Arbuscular Mycorrhizal Fungi for Improving Fertilizer Nitrogen and Phosphorus Use Efficiencies in Maize
Application of fertilizer nitrogen (N) and phosphorus (P) in excess of crop requirement causes nutritional imbalances in soil along with economic and...
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Plant Phenoty**
Breeding is thought to be one of the most effective ways to solve the problem of food crisis. However, traditional phenoty** in breeding is time... -
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Data Assimilation of Remote Sensing Data into a Crop Growth Model
Data assimilation (DA) is the overarching term for an ensemble of techniques to combine all possible information (models, observations, a priori data... -
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In-Season Estimation of Wheat Response to Nitrogen Using Normalized Difference Vegetation Index
Applying fertilizer nitrogen (N) only when a crop response is predicted may enhance use efficiency and profitability while protecting the...
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Optical Sensors for Rational Fertilizer Nitrogen Management in Field Crops
Fertilizer nitrogen (N) is one of the most important nutrient inputs in global crop production. The general fertilizer N management practices in... -
Develo** Precision Nitrogen Management Strategies for Different Crops and Scales of Farming Systems in North China
This chapter describes the work performed within the Sinograin II project on implementation of new precision nitrogen management technologies in...