Color of fruits is a relevant parameter to determine ripeness and optimal harvest time. For olives 6 ripening phases based on skin color distribution have been defined. A widely used method by the olive oil and table olives producers is to inspect the olive surface, and estimate the color and ripening phase visually. This method is simple but it is highly subjective and imprecise. This paper pr...

On the territory of France fenugreek is spread since long on a line from the Gironde to the Italian border. In Belarus experimental cultivation has begun since 2004. Experiments with fenugreek variety Ovari 4 were conducted about time of sowing in order to study their growth, development, and evaluation of productivity in the North-east part of Belarus and Central part of France. Reaching full ...

Banana peel flour (BPF) prepared from green or ripe Cavendish and Dream banana fruits were assessed for their total starch (TS), digestible starch (DS), resistant starch (RS), total dietary fibre (TDF), soluble dietary fibre (SDF) and insoluble dietary fibre (IDF). Principal component analysis (PCA) identified that only 1 component was responsible for 93.74% of the total variance in the starch ...

Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply chain fruit products involves quality checks to guarantee freshness, taste, and, most all, safety. An important factor that determines its stage ripening. This usually manually classified by field experts, making it labor-intensive and error-prone process. Thus, there an arising need for automation ripe...

Ripeness-based categorization is a vital function after the harvest of fruits to balance ripening treatment. Ripeness level significant factor determining quality and lifetime fruits. Various attributes are used identify ripeness level, which manual method categorizing based on skin colour predominantly used. This prone error at many times. paper implements an Ensemble Particle Swarm Optimizati...

Abstract Pattern classification has always been essential in computer vision. Transformer paradigm having attention mechanism with global receptive field vision improves the efficiency and effectiveness of visual object detection recognition. The primary purpose this article is to achieve accurate ripeness various types fruits. We create fruit datasets train, test, evaluate multiple models. Tra...

Manual grading process of Fresh Fruit Bunch (FFB) leads to misconduct and human error while inspecting the right category of fruits for the purpose of oil palm production at the mill. It is extremely important to identify the degree of ripeness of FFB are at 95% level of confidence as mentioned by Malaysian Palm Oil Board (MPOB). Therefore, wrong evaluation of graded fruits will result wrong re...

In this work, morphophysiological reactions to the use of LED-based lamps as a radiation source when grown in an artificial climate on hydroponic installation are studied using example basil plants. Basil plants were technological ripeness. experimental samples, indicators accumulation raw and dry biomass, area leaf surface, etc. determined. It was found that can be stage ripeness based light-e...