Combining remote sensing-derived management zones and an auto-calibrated crop simulation model to determine optimal nitrogen fertilizer rates
CONTEXT Cotton is an economically important crop in Australia that requires high resource
application, particularly that of nitrogen (N) fertilizers. Determining optimal N fertilizer rates …
application, particularly that of nitrogen (N) fertilizers. Determining optimal N fertilizer rates …
Machine learning in evaluating multispectral active canopy sensor for prediction of corn leaf nitrogen concentration and yield
Applying the optimum rate of fertilizer nitrogen (N) is a critical factor for field management.
Multispectral information collected by active canopy sensors can potentially indicate the leaf …
Multispectral information collected by active canopy sensors can potentially indicate the leaf …
Opportunities for robotic systems and automation in cotton production
Automation continues to play a greater role in agricultural production with commercial
systems now available for machine vision identification of weeds and other pests …
systems now available for machine vision identification of weeds and other pests …
Predicting within‐field cotton yields using publicly available datasets and machine learning
Early detection of within‐field yield variability for high‐value commodity crops, such as
cotton (Gossypium spp.), offers growers potential to improve decision‐making, optimize …
cotton (Gossypium spp.), offers growers potential to improve decision‐making, optimize …
Use of an ultrasonic sensor for plant height estimation in irrigated cotton
Plant height in field crops like cotton (Gossypium hirsutum L.) have long been of great
interest to agronomists and plant breeders. Canopy height sensors can replace laborious …
interest to agronomists and plant breeders. Canopy height sensors can replace laborious …
Proximal active optical sensing operational improvement for research using the CropCircle ACS-470, Implications for measurement of normalized difference …
Active radiometric reflectance is useful to determine plant characteristics in field conditions.
However, the physics of silicone diode-based sensing are temperature sensitive, where a …
However, the physics of silicone diode-based sensing are temperature sensitive, where a …
Impact of nitrogen fertilizer timing on nitrate loss and crop production in northwest Iowa
In the US Midwest, nitrate in subsurface tile drainage from corn (Zea mays L.)–soybean
[Glycine max (L.) Merr.] systems is detrimental to water quality at local and national scales …
[Glycine max (L.) Merr.] systems is detrimental to water quality at local and national scales …
基于特征转移植被指数的水稻叶片氮素含量定量估算.
于丰华， 邢思敏， 郭忠辉， 白驹驰… - Transactions of the …, 2022 - search.ebscohost.com
水稻叶片氮素含量遥感检测是实现水稻精准施肥的前提条件. 为了探究利用光谱技术快速,
便捷的实现水稻叶片氮素的精准检测, 该研究在水稻关键生育期, 利用水稻叶片400~ 1 000 nm …
便捷的实现水稻叶片氮素的精准检测, 该研究在水稻关键生育期, 利用水稻叶片400~ 1 000 nm …
Drought response of zoysiagrass with varying leaf texture under progressive deficit irrigation
Improving drought resistance in Zoysiagrass (Zoysia spp.) is a target for both private and
public breeding programs. The performance of 26 elite experimental zoysiagrasses was …
public breeding programs. The performance of 26 elite experimental zoysiagrasses was …
Revising petiole nitrate sufficiency/deficiency guidelines for irrigated cotton in the Desert Southwest
KF Bronson, ER Norton… - Soil Science Society of …, 2021 - Wiley Online Library
Abstract Petiole nitrate‐nitrogen (NO3–N) sampling and testing remains a popular in‐
season nitrogen (N) management practice in the western United States for cotton …
season nitrogen (N) management practice in the western United States for cotton …