Search

Nowadays, most of the country switched to generate their power by renewable energy sources as well as the power industries also mainly focused on the renewable resources for power generation. The renewable resources are solar, wind, biomass, and hydroelectric; out of these, the solar market is developing due to shortage of non-renewable resources. The solar energy is freely obtainable during the year; also, it provides a clean and noiseless environment. Most of the large- and small-scale industries and household consumers moved to generate the power through a PV solar cell. Most of the research work includes the modelling of the PV solar cell based on their requirement in a one-diode model. In this article, a detailed study is provided about the circuit-based single-diode solar cell (SCSC) model and double-diode solar cell (DDSC) with different conditions done in MATLAB/Simulink. Both the SDSC and DDSC models are tested with different values of temperature, irradiation, and shunt resistance. This work helps the researchers study V-I and P-V characteristics of the PV solar cell clearly with different conditions. The outputs of SDSC and DDSC models are compared with simulation outputs. Effect of partial shading is also discussed to get a better idea.

Constituting the agriculture solid substance manufacture, the post-harvest sector processing schema is direct to preventing reduce the losses in intelligent agriculture. Many processing schemata will be preventing post-harvest losses on the agriculture solid substance manufacture, especially sekai-ichi apple is the regularly used fruit also used to make active in human-related activities of the sensory and control function consisting of an agricultural industry. Sekai-ichi apple is being a definite number of diseases induce, but it is to the highest degree of wastage involving in the Post-Harvest process. Especially sekai-ichi apple count loss is an unsafe many time because it not critically post-harvest. Regardless of consideration, the existing hierarchical model specified post-harvest losses prevention research has deficiencies to precise and quick detection of wastage for ensuring healthy separation of agriculture surroundings. This paper suggests a “Hierarchical Model within Ontology Enabled IoT” for distinguishable healthy separation of sekai-ichi apple by using Boosted Continuous Non-spatial whole Attribute Extraction (BCNAE). Sekai-ichi apple count loss is always safe on critically post-harvest. Proposed Post-Harvest hierarchical model specified post-harvest losses prevention and deficiencies to precise and quick detection of wastage for ensuring healthy separation of agriculture surroundings. In these suggestions, the separation cognitive operation takes the three levels of processing schemes such as lower level, middle level, and higher level. Firstly, the lower level is express agreements with the dynamic functioning for maintaining the definite number of manual induces. This lower level showing an absorption with the activity of manual separation by the human reliability determination. Secondly, the middle level is an express arrangement with the dynamic functioning for reducing the overfitting and accommodate to fitting the right shape deliberation. Middle level is establishing being generalized by concentrating the time-varying features in the occurrence of a change for the worse identification. Finally, the upper level is express for features refining with the help of the function of sekai-ichi apple image segmentation connection. This interpretability process helps to make the proven position of a prominent classification in a particular fruit on the agriculture solid substance. These three processing flow constructs the ontology structure with manually collected sekai-ichi apple images from a 3D sensor. The observational consequences express that the proposed BCNAE framework recognizes a detection performance carrying out with an optimized—separation ratio for time-variant of the separation process.