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Literature Review Crop Modeling and Introduction a Simple Crop Model
Modeling science has been applied by many advanced countries in many fields, such as geology, meteorology, climate change, crop productivity, environment, erosion, and landslide. The crop model simulates the processes of agriculture. The writing of this article is descriptive qualitative using the Systematic Literature Review (SLR) method. So far, each
Le Huu Phuoc +5 more
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Explanatory models in crop physiology [PDF]
INTRODUCTION 340 THE MODELING PROCESS 343 HIERARCHIC LEVELS IN CROP GROWTH MODELS 345 Community/Ecosystem Level 346 Organ/Organisma/ Level 349 Cell/Tissue Level 354 SPECIAL ISSUES IN PHYSIOLOGICAL MODELING 355 Stochastic Versus Deterministic Simulation 355 Adaptation 356 APPLICATIONS 357 Productivity and Bioclimatology 358 ...
Loomis, R.S., Ng, E., Rabbinge, R.
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Agrivoltaics Crop Yield Modeling
Agrivoltaics (APV) combine agriculture and photovoltaic (PV) energy production on the same land and have the potential to provide several synergies for both production systems.
Felix Schuck +3 more
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Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models [PDF]
Simulation of rice yield and its water productivity studied using AquaCrop, WOFOST and CropSyst models, in an experiment at Khuzestan Agricultural Research Station.
Seyed Amir Hossein Mousavi +2 more
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NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals
Achieving global goals for sustainable nutrition, health, and wellbeing will depend on delivering enhanced diets to humankind. This will require instantaneous access to information on food-source quality at key points of agri-food systems.
Keerthi Chadalavada +11 more
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Spatialising Crop Models [PDF]
There are many incentives for applying a crop model at a regional scale, i.e. over an area larger than that for which it has been developed. This is what we call “spatialising” a crop model. These large areas can have very heterogeneous soil, climate and management practices. Consequently, spatialising a crop model can pose serious problems.
Faivre, Robert +6 more
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Crop modelling in agricultural crops
With limited land resources and a growing population, agricultural output is under considerable strain. New technology is necessary for overcoming these issues and advising farmers, legislators and other decision-makers on adopting sustainable agriculture despite global climate variations. This has led to the crop simulation models that illustrate crop
Roja, M, Gumma, M K, Reddy, M D
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X-ray driven peanut trait estimation: computer vision aided agri-system transformation
Background In India, raw peanuts are obtained by aggregators from smallholder farms in the form of whole pods and the price is based on a manual estimation of basic peanut pod and kernel characteristics.
Martha Domhoefer +11 more
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Connecting Biochemical Photosynthesis Models with Crop Models to Support Crop Improvement [PDF]
The next advance in field crop productivity will likely need to come from improving crop use efficiency of resources (e.g., light, water, and nitrogen), aspects of which are closely linked with overall crop photosynthetic efficiency. Progress in genetic manipulation of photosynthesis is confounded by uncertainties of consequences at crop level because ...
Alex Wu +8 more
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Crop efficiencies associated with intercepted radiation, conversion into biomass and allocation to edible organs are essential for yield improvement strategies that would enhance genetic properties to maximize carbon gain without increasing crop inputs ...
Cecilia Silva-Díaz +8 more
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