,SHOOTGRO emphasizes the development and growth of the shoot apex of small-grain cereals such as winter and spring wheat (Triticum aestivum L.) and spring barley (Hordeum vulgare L.). To better incorporate the variability typical in the field, up to six cohorts, or age classes, of plants are followed using a daily time step.,Assessing the influence of nitrogen and water availability on development and growth of individual organs of winter wheat (Triticum aestivum L.) is critical in evaluating the response of wheat to environmental conditions. We constructed a simulation model (SHOOTGRO 2.0) of shoot vegetative development and growth from planting to early boot by adding nitrogen and water balances and response functions for seedling emergence, tiller and leaf appearance, leaf and internode growth, and leaf and tiller senescence to the existing wheat development and growth model, SHOOTGRO 1.0. Model inputs include daily maximum and minimum air temperature, rainfall, daily photosynthetically active radiation, soil characteristics necessary to compute soil N and water balances, and several factors describing the cultivar and soil conditions at planting. The model provides information on development and growth characteristics of up to six cohorts of plants within the canopy (cohort groupings are based on time of emergence). The cohort structure allows SHOOTGRO 2.0 to provide output on the frequency of occurrence of plants with specific features (tillers and leaves) within the canopy. The model was constructed so that only water availability limited seedling emergence. Resource availability (nitrogen and water) does not influence time of leaf appearance. Leaf and internode growth, and leaf and tiller senescence processes are limited by the interaction of N and water availability. Tiller appearance is influenced by the correspondence to: W.W. Wilhelm, USDA-ARS, Department of Agronomy, University of Nebraska-Lincoln, Lincoln, Nebraska 68583-0934, USA. 0304-3800/93/$06.00 0 1993 - Elsevier Science Publishers B.V. All rights reserved 184 W.W. WILHELM ET AL. interaction of N, radiation and water availability. Predicted and observed dates of emergence and appearance of the first tiller had correlation coefficients of 0.98 and 0.93, respectively. However, these events were, on average, predicted 3.2 and 5.2 days later than observed. SHOOTGRO 2.0 generally under-predicted the number of culms per unit land area, partially because the simulation is limited to a maximum of 16 culms/plant. Model output shows that the simulation is sensitive to N and water inputs. The model provides a tool for predicting vegetative development and growth of the winter wheat with individual culms identified and followed from emergence through boot. SHOOTGRO 2.0 can be used in evaluating alternative crop management strategies.,,

,2D finite element water, solute, and heat mover model for plant models.,Most crops are grown in rows and this introduces spatial variability in soil processes with respect to the row. However, this variability can be exploited to reduce chemical transport to groundwater or improve management of irrigation water. Unless a model can account for variability perpendicular to crop rows as well as vertically into the soil profile it will not be able to fully evaluate all possible management practices that can be used to make agriculture more efficient and less harmful to the environment. To address this concern we developed 2DSOIL, the first comprehensive, modular, two-dimensional soil simulator that can simulate the major physical, chemical and biological processes in soil. Fully implemented, principles of modular modeling facilitate the addition and replacement of modules, as well as the reuse of existing code. The modularity of 2DSOIL has been designed to make it easy to modify the model and to make it easy to incorporate into plant models. 2DSOIL was used to simulate the effect of several water and nitrogen management practices and was incorporated into ARS potato and cotton models, into the Root Zone Water Quality Model, and into the USGS Modular Modeling System.,

,Please note: This software is no longer being updated or maintained, and is out of date.,SPUR2 DOS ver. 2.2 is a general grassland ecosystem simulation model designed to determine beef cattle performance and production by simultaneously simulating production of up to 15 plant species on 36 heterogeneous grassland sites. SPUR2 simulates grassland hydrology, nitrogen cycling, and soil organic matter on grazed ecosystems as well as rangeland production under different climatic regimes, environmental conditions, and management alternatives.,,

,A Modelling dataset containing a DSSAT cultivar file, AgMIPS platform dome code and USDA ARS LIRF drip irrigated field experiment in Greeley, Colorado average Maize biomass and yield by treatment. Irrigation treatments vary from 40% to 100% of ET. This dataset is used with the DSSAT and RZWQM2 models as part of an Agricultural Model Inter-comparison and Improvement Project (AgMIP) data node maintained at National Agricultural Library for USDA-AgMIP data. Additional data are available from https://data.agmip.org/,The complete experiment dataset in readable Excel format is USDA-ARS Colorado Maize Water Productivity Dataset 2008-2011 and can be found at http://dx.doi.org/10.15482/USDA.ADC/1254006,,

본 데이터셋은 2025년 연천 지역 콩 재배 필지를 대상으로, 위성 기반 정밀 농업 분석 기술을 활용하여 월별로 생산된 공간·시계열 작황 분석 데이터입니다. 각 데이터는 필지 단위 식별 정보, 다중 스펙트럼 영상 기반 작황 지표,그리고 필지 내 작황 구역별 평균값(정량 지표)을 포함하여 생육 모니터링, 영양 상태 분석, 수량 예측에 활용할 수 있도록 구성되어 있습니다.

본 데이터셋은 2025년 연천 지역 콩 재배 필지를 대상으로, 위성 기반 정밀 농업 분석 기술을 활용하여 월별로 생산된 공간·시계열 작황 분석 데이터입니다. 각 데이터는 필지 단위 식별 정보, 다중 스펙트럼 영상 기반 작황 지표,그리고 필지 내 작황 구역별 평균값(정량 지표)을 포함하여 생육 모니터링, 영양 상태 분석, 수량 예측에 활용할 수 있도록 구성되어 있습니다.

This data bundle contains some of the inputs, all of the processing instructions and all outputs from two VisTrails/SAHM workflows, one creating a global habitat suitability model for buffelgrass and another creating a habitat suitability model for buffelgrass in Saguaro National Park, AZ. The bundle documentation files are: 1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) 'modelSelectionCV_MakeAbsPntsFilt100_2.csv' containing the field data used as inputs for the Saguaro National Park model. 2) '_archive_raster_inputs.csv' a list of the raster inputs that were used to generate these model results. These are not included in the archive bundle due to size constraints but are identified in this file as well as the metadata document. 3) '_archive_workflow_Final_model_output.vt' where 'Final_model_output' is the name of the history node for the global model and 'SNP final model' is the name of the history node for the Saguaro National Park model being archived in this bundle. Contains a VisTrails/SAHM workflow document which contains the workflow that was used to create these outputs. 4) '_archive_workflow_Final_model_output.vt' where Final_model_output is the name of the history node being archive in this bundle. Contains a VisTrails/SAHM workflow document which contains the workflow that was used to create these outputs. The remaining data files are the spatial and diagnostic model outputs.

This data bundle contains some of the inputs, all of the processing instructions and all outputs from two VisTrails/SAHM workflows, one creating a global habitat suitability model for buffelgrass and another creating a habitat suitability model for buffelgrass in Saguaro National Park, AZ. The bundle documentation files are: 1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) 'modelSelectionCV_MakeAbsPntsFilt100_2.csv' containing the field data used as inputs for the Saguaro National Park model. 2) '_archive_raster_inputs.csv' a list of the raster inputs that were used to generate these model results. These are not included in the archive bundle due to size constraints but are identified in this file as well as the metadata document. 3) '_archive_workflow_Final_model_output.vt' where 'Final_model_output' is the name of the history node for the global model and 'SNP final model' is the name of the history node for the Saguaro National Park model being archived in this bundle. Contains a VisTrails/SAHM workflow document which contains the workflow that was used to create these outputs. 4) '_archive_workflow_Final_model_output.vt' where Final_model_output is the name of the history node being archive in this bundle. Contains a VisTrails/SAHM workflow document which contains the workflow that was used to create these outputs. The remaining data files are the spatial and diagnostic model outputs.

- 종자 발아 데이터 : 5종 작물(벼, 밀, 고추, 배추, 무)별로 각 5개 품종에 대해 종이배지(발아객체 100립)기준으로 수집한 시계열 종자 발아 이미지 데이터 - 작물 품종 특성 데이터 : 4종 작물(고추, 무, 상추, 배추)별 각 10개 품종에 대한 6개 품종 특성 값을 판별한 기록 데이터