Assessment and Adoption of Tomato Charcoal Cooler Storage Bin for Farmers in The Tropics

The study tends to study the postharvest technological evaluation of different tomato storage environments/media for domestic preservation of fresh and fleshy tomato quality to improve its shelf life with emphasis on charcoal cooler storage bin (CCB). It involved the preliminary investigation of farmers’ knowledge and skill with regard to tomato preservation and storage with different tomato storage environments, adoption of developed CCB: design capacity was 40kg/batch storage for 7days in Nsukka. These were conducted between April to September, 2019. The field studies were carried out through structured questionnaire to know the adaptive knowledge and skill of farmers with regard to tomato preservation and storage. Comparative study of the developed CCB with other environmental storage conditions namely: open-air (ambient) storage (OAS), refrigerator (RF), freezer (FR), (room) laboratory storage (LS), and thatched house storage (THS) were carried out. The four varieties of fresh and fleshy harvested tomato fruits: Copra, Nindo F1, Yolings, and UTC locally cultivated were set into the 6 treatments (media), each treatment was replicated twice. The study showed that the quality attributes such as cracking, yellowing, weight loss, rottening, hardness, and brix value were determined. Based on the physicomechanical parameters of the tomatoes under seven days investigation, FR (0 °C,95%) and RF (10 °C, 85%) had better quality and prolonged shelf life, followed closely by the tomato CCB storage (12 °C,85%) and THS(12 °C,78%) then LS(25 °C,78%) and OAS(30 °C,78%). FR storage inhibited/delayed (cold stress) ripening with minimum weight loss, as compared to the other treatments in terms of stability in all parameters. Similarly, CCB was close to RF storage and performed significantly better than ambient OAS and LS. OAS and LS exhibited higher weight loss, and rapid ripening to deterioration due to tropical temperature and relative humidity fluctuation. Therefore, CCB is recommended for rural small scale farmers

Computational Modeling of Trombe Wall Solar Chick Brooding House for Optimal Poultry Production

Computational modeling, simulation and validation were carried out on Trombe wall solar chick brooder used for optimal poultry production. Predictive linear differential equations based on physical, mathematical principles and relationships governing thermo-physical properties of the components of the brooder were formulated, discretized and expressed in their finite different forms using SCILAB 5.5.2. T-test statistics was carried out on predicted and measured mean data: temperature of Trombe wall glaze (TG1), temperature of pebble glaze (TG2), temperature of the pebble bed bin (Tp), temperature of the brooding room (TBr), and temperature of the Trombe wall outer surface (Tw (outer surface))then separated using Levene test for equality. The model adequately predicted the measured temperature of the brooding brooder at 5% probability level