 The factors that determine the success of the crop is water content in the soil profile explored by the roots, where soil and management condition affect the storage and availability. Because of the sites defined by the altimetry and crops predecessors affect the behavior of water content stored in the soil available for plants.  The aim of this work was to analyze the relationship between d...

ABSTRACT: This research evaluated the yield, water productivity, and economic productivity for oil content of three soybean cultivars under different conditions. The experiments were conducted in 2017/2018 2018/2019 harvests. experimental design consisted a two-factor randomized block, with first factor 5 irrigation depths, based on reference evapotranspiration (ETO), plus treatment without sec...

crop density measurement is one of the most important factors in precision farming and effect onthe performance of harvesting machines such as combine and mower. so, the purposes of this studyare to design, build and calibrate of an inexpensive and non-contact instrument that can estimatecrop density for crops such as wheat, barley and alfalfa stems. the sensing unit is consisted of lasertransm...

crop productivity, water use efficiency (wue), and microbial biomass c and n in rainfed dry area are influenced by tillage, rotation, and crop residue management. field experiments were conducted during 2005-08 to study the effect of tillage, crop rotation, and crop residue retention on oat fodder yield, water use efficiency, and microbial biomass c (mbc) and n (mbn) under semi-arid conditions ...

in order to evaluate the effects of cover crops on reduced weed biomass in hybrid sunflower an experiment was carried in the research stations, natural resources medicinal plants (samian_ardabile) with 3 replicates in 1390-1391. the first factor was considered three type of cover crops, winter rye, spring barley, winter wheat with 2 control treatment, second factor was mulch management at two l...

Detailed parameter sensitivity, model validation, and regional calibration of the Hybrid-Maize crop model were undertaken for the purpose of regional agroclimatic assessments. The model was run at both field scale and county scale. The county-scale study was based on 30-yr daily weather data and corn yield data from the National Agricultural Statistics Service survey for 24 locations across the...

A recurrent issue for data integration is the lack of a common and structured vocabulary used by different parties to describe their data sets. The Crop Ontology (www.cropontology.org) project aims to provide a central place where the crop community can gather to generate such standardized vocabularies and structure them into ontologies. Having standardized ontologies opens the world of the Sem...