Soil moisture prior to the planting time can influence crop yield through affecting seedling rooting and emergence, making it an important factor in agronomic management. However, degree which initial soil influences has not been quantified, especially emerging regions where food security is a major challenge field data on meteorological conditions are sparse. Here, we quantify sensitivity of p...

Aim: The research study was conducted to calibrate and validate the DSSAT CROPGRO peanut model for simulating potential yield of groundnut deciding best possible management options at major growing areas Northern Agro-Climatic zone Tamil Nadu.
 Study Design: experiment in Split plot Design with four Sowing dates cultivars.
 Methodology: requires layer wise soil data (physical chemical...

Determination of the optimum sowing window not only can improve maize yield significantly but also fit in existing cropping pattern. To get advantages at time, a study was designed and carried out research field Bangladesh Agricultural Research Institute, Rangpur, during 2015–2017. Another aim to forecast for northern western regions using CERES-Maize model. The considered 5 November, 20 Decemb...

To develop basis for strategic or arranged decision making towards crop yield improvement in Thailand, a new method which models could be used is essential. Therefore, the objective of this study was to measure cultivar specific parameters by using DSSAT (v4.7) Cropping Simulation Model (CSM) with five upland rice genotypes namely Dawk Pa-yawm, Mai Tahk, Bow Leb Nahng, Kha 50 and Kahm. Experime...

Abstract Several remote sensing-based methods have been developed to apply site-specific nitrogen (N) fertilization in crops. They consider spatial and temporal variability the soil-plant-atmosphere continuum modulate N applications actual crop nutrient status requirements. However, deriving fertilizer recommendations exclusively from proximal sensing data can lead substantial inaccuracies new,...

Precision crop production requires accurate yield prediction and nitrogen management. Crop simulation models may assist in exploring alternative management systems for optimizing water, nutrient microelements use efficiencies, increasing maize yields. Our objectives were: (i) to access the ability of CERES-Maize model predicting yields long-term experiments Hungary; (ii) assess effects differen...