Developing functional relationships between soil moisture content and corn early-season physiology, growth, and development
Drought is a severe threat to agriculture production that affects all growth stages of plants,
including corn (Zea mays L.). Any factor affecting early seedling growth and development …
including corn (Zea mays L.). Any factor affecting early seedling growth and development …
[HTML][HTML] Soil health explains the yield-stabilizing effects of soil organic matter under drought
Soil organic matter (SOM) serves as an important indicator of soil health. Soils with high
SOM are associated with high crop yield under drought conditions. However, a critical …
SOM are associated with high crop yield under drought conditions. However, a critical …
Machine-learning-based regional yield forecasting for sugarcane crop in Uttar Pradesh, India
Sugarcane (Saccharum officinarum) is a major cash crop in India that needs to be monitored
cautiously as it contributes significantly to the national exchequer and provides employment …
cautiously as it contributes significantly to the national exchequer and provides employment …
[HTML][HTML] Explainable machine learning approach quantified the long-term (1981–2015) impact of climate and soil properties on yields of major agricultural crops …
A comprehensive understanding of the long-term data on the crop, soils, environment,
climate, and production management would facilitate efficient data-driven decision-making …
climate, and production management would facilitate efficient data-driven decision-making …
[HTML][HTML] Evaluating machine learning models and identifying key factors influencing spatial maize yield predictions in data intensive farm management
Understanding the relationships between crop yields, soil properties, weather patterns and
input applications is important for optimizing agricultural production. Data variation analysis …
input applications is important for optimizing agricultural production. Data variation analysis …
Approach towards Weather Prediction Model for Aggrotech
G Sharma, SK Dubey - 2023 Third International Conference on …, 2023 - ieeexplore.ieee.org
Agriculture is indispensably responsible for the growth of India, as it contributes not only
extensively to employment but also aids GDP. This primary sector mainly suffers the …
extensively to employment but also aids GDP. This primary sector mainly suffers the …
Climate Change Impacts on Crop Production: Advancements in Future Projections for US Corn
HF Stephens - 2024 - knowledge.uchicago.edu
Importance: Climate change may put our ability to feed future populations at risk. The
prospects of those risks are limited by our understanding of how environmental factors …
prospects of those risks are limited by our understanding of how environmental factors …
Diversified crop rotations mitigate agricultural losses from dry weather.
S Manski, Y Socolar, B Goldstein, G Pizzo, Z Ahmed… - agriRxiv, 2024 - cabidigitallibrary.org
As changing climates create drought conditions with increasing frequency and severity,
there is an urgent need for farmers to adopt agricultural systems that lower the risk of losses …
there is an urgent need for farmers to adopt agricultural systems that lower the risk of losses …
[PDF][PDF] Template A v4. 0 (beta): Created by L/2019
RR Vennam - 2023 - researchgate.net
Corn (Zea mays L.) originated in the highlands of Mexico and was domesticated from its wild
relative teosinte (García-Lara and Serna-Saldivar, 2019). It is cultivated in various parts of …
relative teosinte (García-Lara and Serna-Saldivar, 2019). It is cultivated in various parts of …
[图书][B] Bayesian Statistical Methods: Advancing Field-Level Risk Assessment in Agriculture, Accessible Statistical Training, and Inclusive Global Education
S Manski - 2023 - search.proquest.com
Bayesian statistical methods have gained widespread recognition across disciplines due to
their intuitive probabilistic nature, incorporation of prior domain knowledge through prior …
their intuitive probabilistic nature, incorporation of prior domain knowledge through prior …