Results 71 to 80 of about 163,439 (186)

PREDICTING OUTPUT FROM SEEMINGLY UNRELATED AREA AND YIELD EQUATIONS [PDF]

Crop output can be defined as the product of area sown and yield. Given the existence of separate equations for explaining and predicting area sown and yield, in this paper we suggest predictors for output and derive expressions for the standard errors ...
Coelli, Tim J., Griffiths, William E., Thomson, Graeme   +2 more
core   +1 more source

Improvement of the soil-crop model AZODYN under conventional, low-input and organic conditions [PDF]

, 2007
The use of mechanistic crop modelling, simulating the dynamics of crop N requirements and nitrogen supply from the soil and fertilizers, can provide sound advice to users. This paper describes a methodological way to improve soil-crop modeling used for N
David, Christophe, Herbain, Céline, Jeuffroy, Marie-Hélène, Valentin Morison, Muriel   +3 more
core  

Simulating Growth and Development of Tomato Crop [PDF]

Crop models are powerful tools to test hypotheses, synthesize and convey knowledge, describe and understand complex systems and compare different scenarios.
Elings, A., Heuvelink, E., Marcelis, L.F.M., Visser, P.H.B., de   +3 more
core   +2 more sources

Wheat productivity estimates using LANDSAT data [PDF]

The author has identified the following significant results. Large area LANDSAT yield estimates were generated. These results were compared with estimates computed using a meteorological yield model (CCEA).
Bresnahan, P. A., Colwell, J. E., Nalepka, R. F., Rice, D. P.   +3 more
core   +1 more source

Crop yield prediction with environmental and chemical variables using optimized ensemble predictive model in machine learning

Environmental Research Communications
Enhanced crop yield prediction is necessary for agronomists to make dynamic premonsoon decisions. The input variables precipitation, temperature, evaporation, wind speed, and chemical use influence crop yield estimations.
Nivethitha Krishnadoss, Lokesh Kumar Ramasamy   +1 more
doaj   +1 more source

An explainable Bi-LSTM model for winter wheat yield prediction

Frontiers in Plant Science
Accurate, reliable and transparent crop yield prediction is crucial for informed decision-making by governments, farmers, and businesses regarding food security as well as agricultural business and management.
Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee   +7 more
doaj   +1 more source

Seasonal Predictability of Four Major Crop Yields Worldwide by a Hybrid System of Dynamical Climate Prediction and Eco-Physiological Crop-Growth Simulation

Frontiers in Sustainable Food Systems, 2020
The purpose of this study was to evaluate the prediction accuracy of a newly developed crop yield prediction system, composed of a dynamical seasonal climate prediction model (SINTEX-F2) and an eco-physiological process-based crop growth model (PRYSBI2).
Takeshi Doi, Gen Sakurai, Toshichika Iizumi   +2 more
doaj   +1 more source

Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation [PDF]

, 2014
Studies of climate change impacts on agricultural land use generally consider sets of climates combined with fixed socio-economic scenarios, making it impossible to compare the impact of specific factors within these scenario sets. Analysis of the impact
Audsley, Eric, Balek, Jan, Maspons, Joan, Pearn, Kerry R., Sabate, Santiago, Sanchez, Anabel, Sandars, Daniel L., Trnka, M.   +7 more
core   +1 more source

Gorilla troops optimization with deep learning based crop recommendation and yield prediction

International Journal of Cognitive Computing in Engineering
Agriculture plays a vital role in the Indian economy. Crop recommendation for a specific region is a tedious process as it can be affected by various variables such as soil type and climatic parameters.
A. Punitha, V. Geetha
doaj   +1 more source

Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review [PDF]

Nature Environment and Pollution Technology
Agriculture is the crucial pillar and basic building block of our nation. Agriculture plays a key role as the major source of revenue for our nation. Farming is the primary financial source of India.
V. Ramesh and P. Kumaresan
doaj   +1 more source