Results 81 to 90 of about 7,093,894 (211)

Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning

Plants, 2023
Early and accurate prediction of grain yield is of great significance for ensuring food security and formulating food policy. The exploration of key growth phases and features is beneficial to improving the efficiency and accuracy of yield prediction. In
Yiting Ren, Qiangzi Li, Xin Du, Yuan Zhang, Hongyan Wang, Guanwei Shi, Mengfan Wei   +6 more
semanticscholar   +1 more source

Comparison of different methods of grapevine yield prediction in the time window between fruitset and veraison

OENO One, 2015
Aim: To compare grape yield prediction methods to determine which provide the best results in terms of earliness of prediction in the growing season, accuracy and precision.
Mario de la Fuente, Rubén Linares, Pilar Baeza, Carlos Miranda, José Ramón Lissarrague   +4 more
doaj   +1 more source

Deep-Transfer-Learning Strategies for Crop Yield Prediction Using Climate Records and Satellite Image Time-Series Data

Remote Sensing
The timely and reliable prediction of crop yields on a larger scale is crucial for ensuring a stable food supply and food security. In the last few years, many studies have demonstrated that deep learning can offer reliable solutions for crop yield ...
Abhasha Joshi, B. Pradhan, Subrata Chakraborty, R. Varatharajoo, Shilpa Gite, Abdullah M. Alamri   +5 more
semanticscholar   +1 more source

California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach

Frontiers in Plant Science, 2019
California’s almond growers face challenges with nitrogen management as new legislatively mandated nitrogen management strategies for almond have been implemented.
Zhou Zhang, Zhou Zhang, Yufang Jin, Bin Chen, Patrick Brown   +4 more
doaj   +1 more source

An Empirical Method for Prediction of Cheese Yield [PDF]

Journal of Dairy Science, 2002
Theoretical cheese yield can be estimated from the milk fat and casein or protein content of milk using classical formulae, such as the VanSlyke formula. These equations are reliable predictors of theoretical or actual yield based on accurately measured milk fat and casein content.
C, Melilli, J M, Lynch, S, Carpino, D M, Barbano, G, Licitra, A, Cappa   +5 more
openaire   +2 more sources

Lettuce Yield Prediction

International journal of electrical and computer engineering systems
Indoor aeroponic vertical farming systems have revolutionized agriculture by allowing efficient use of space and resources, eliminating the need for soil. These systems improve crop productivity and growth rates.
Gowtham Rajendiran, Jebakumar Rethnaraj
semanticscholar   +1 more source

Metabolomic prediction of yield in hybrid rice [PDF]

The Plant Journal, 2016
SummaryRice (Oryza sativa) provides a staple food source for more than 50% of the world's population. An increase in yield can significantly contribute to global food security. Hybrid breeding can potentially help to meet this goal because hybrid rice often shows a considerable increase in yield when compared with pure‐bred cultivars.
Shizhong, Xu, Yang, Xu, Liang, Gong, Qifa, Zhang   +3 more
openaire   +2 more sources

Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning

Italian National Conference on Sensors
Remote sensing data represent one of the most important sources for automized yield prediction. High temporal and spatial resolution, historical record availability, reliability, and low cost are key factors in predicting yields around the world.
Florian Huber, Alvin Inderka, Volker Steinhage   +2 more
semanticscholar   +1 more source

Sustainable Crop Yield Prediction

International Research Journal on Advanced Engineering Hub (IRJAEH)
Accurate forecasting of crop yields is fundamental to improving agricultural efficiency and ensuring global food availability. This research implements machine learning methodologies to estimate crop output using key agronomic and environmental ...
Aman Pramod Kumbhar, Ashutosh Kulkarni, S. Kakde, Shreya Gupt, Vaishali Jadhav   +4 more
semanticscholar   +1 more source

Yield Diagnosis and Tuning for Emerging Semiconductors During Research Stage

IEEE Access
The process of taking a new semiconductor device from the lab to the factory involves a lot of time, funds and manpower, a large portion of which is spent on device yield improvement.
Chunshan Wang, Zizhao Ma, Yuxuan Zhu, Chensheng Jin, Dongyu Chen, Chuxin Zhang, Yining Chen, Wenzhong Bao, Yufeng Xie   +8 more
doaj   +1 more source