A review of methods to improve nitrogen use efficiency in agriculture
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 …
combination are in use to manage its efficiency. However, nitrogen use efficiency (NUE) has …
Efficiency of fertilizer nitrogen in cereal production: retrospects and prospects
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 …
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
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 …
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
Core Ideas Nitrogen recommendations for individual corn fields are less accurate than
desired. Nitrogen recommendations need improvement for economic and environmental …
desired. Nitrogen recommendations need improvement for economic and environmental …
Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
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) …
association with county-level data from the United States Department of Agriculture (USDA) …
Yield estimation in cotton using UAV-based multi-sensor imagery
Highlights•Site-specific cotton yield estimation was conducted.•The performance of multiple
image sensors were evaluated.•Data were registered based on image features.•Methods …
image sensors were evaluated.•Data were registered based on image features.•Methods …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
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 …
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 …
its excellent environmental adaptability. Moreover, corn is an important feed source for …
Proximal optical sensors for nitrogen management of vegetable crops: A review
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 …
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
An experiment was conducted under outdoor pot-culture conditions to determine effects of
nitrogen (N) deficiency on sorghum growth, physiology, and leaf hyperspectral reflectance …
nitrogen (N) deficiency on sorghum growth, physiology, and leaf hyperspectral reflectance …