Assessing DeepSAe Model on Growing Chili and Rose Tomatoes to Promote Harmonious Humanosphere on the Locals and Sustainability

Abstract

A phenomenon of declining environmental capacity to support sustainable agricultural production has been noted. The possible cause for this is improper balance of chemical fertilizer usage on farming practices for long durations. The dependency on chemical fertilizers—which tends to be expensive and scarce— burdens the local farmer communities with many among them were in vulnerable positions without proper education, income under 1$ per day, illiterate, and with limited access to information. This research was designed to support the locals on utilizing their waste material such cow dung and agricultural biomass to support their production on chili and rose tomatoes. Seventy students of physics have been participated in the project under DeepSAe-deep learning student-environment model by growing chili and rose tomatoes under different compositions of soil and fertilizer. Approximately 3 weeks old healthy and homogenous seedlings of chili and rose tomatoes from a local nursery were transported to university and grown in plastic pot containers under 10 different treatments and five replicated to meet statistical purposes. The growth was then observed weekly for four weeks. The results showed that the addition of one-thirds of organic fertilizer gave better growth on rose tomatoes and chili. We conclude that the DeepSAe model was effective on promoting harmonious humanosphere on local community and sustainability.