Crop yield is an extremely difficult trait identified using many factors like genotype, environment and their interaction. Accurate Yield Prediction (CYP) necessitates the basic understanding of functional relativity among yields collaborative factor. Disclosing such connection requires both wide-ranging datasets efficient model. The CYP important to accomplish irrigation scheduling assessing l...

Economic growth in the regions is substantially determined by development of agriculture, which ensures satisfaction population's needs for foodstuffs. Modeling animal husbandry and plant growing allows to reveal factors influencing functioning agricultural branches, including dependence territory on food export, determine their quantitative influence increase number cattle gross harvest crops,...

Timely crop yield information is needed for agricultural land management and food security. We investigated using remote sensing data from the Earth observation mission Sentinel-2 to monitor phenology predict of sunflowers at field scale. Ten sunflower fields in Mezőhegyes, southeastern Hungary, were monitored 2021, was measured by a combine harvester. Images collected throughout monitoring per...

Climate change impacts the sustainability of agriculture. Physiological processes are very essential for improving crop modeling. The objective this paper was to assess integrated effects modeling and physiology on response rice climate change. Some models have weakness rectified by better understanding physiological features which is correlated growth development plant. Process-based dynamic a...