A review of methods to improve nitrogen use efficiency in agriculture

LK Sharma, SK Bali - Sustainability, 2017 - mdpi.com
Management of nitrogen (N) is a challenging task and several methods individually and in
combination are in use to manage its efficiency. However, nitrogen use efficiency (NUE) has …

Efficiency of fertilizer nitrogen in cereal production: retrospects and prospects

JK Ladha, H Pathak, TJ Krupnik, J Six… - Advances in agronomy, 2005 - Elsevier
Presently, 50% of the human population relies on nitrogen (N) fertilizer for food production.
The world today uses around 83 million metric tons of N, which is about a 100‐fold increase …

Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean

M Yoosefzadeh-Najafabadi, HJ Earl, D Tulpan… - Frontiers in plant …, 2021 - frontiersin.org
Recent substantial advances in high-throughput field phenoty** have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …

Strengths and limitations of nitrogen rate recommendations for corn and opportunities for improvement

TF Morris, TS Murrell, DB Beegle… - Agronomy …, 2018 - Wiley Online Library
Core Ideas Nitrogen recommendations for individual corn fields are less accurate than
desired. Nitrogen recommendations need improvement for economic and environmental …

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

DK Bolton, MA Friedl - Agricultural and forest meteorology, 2013 - Elsevier
We used data from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) in
association with county-level data from the United States Department of Agriculture (USDA) …

Yield estimation in cotton using UAV-based multi-sensor imagery

A Feng, J Zhou, ED Vories, KA Sudduth… - Biosystems Engineering, 2020 - Elsevier
Highlights•Site-specific cotton yield estimation was conducted.•The performance of multiple
image sensors were evaluated.•Data were registered based on image features.•Methods …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Estimation of corn yield based on hyperspectral imagery and convolutional neural network

W Yang, T Nigon, Z Hao, GD Paiao… - … and Electronics in …, 2021 - Elsevier
Corn is an important food crop in the world, widely distributed in many countries because of
its excellent environmental adaptability. Moreover, corn is an important feed source for …

Proximal optical sensors for nitrogen management of vegetable crops: A review

FM Padilla, M Gallardo, MT Peña-Fleitas, R De Souza… - Sensors, 2018 - mdpi.com
Optimal nitrogen (N) management is essential for profitable vegetable crop production and
to minimize N losses to the environment that are a consequence of an excessive N supply …

Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum

D Zhao, KR Reddy, VG Kakani, VR Reddy - European journal of agronomy, 2005 - Elsevier
An experiment was conducted under outdoor pot-culture conditions to determine effects of
nitrogen (N) deficiency on sorghum growth, physiology, and leaf hyperspectral reflectance …