Revolutionizing Potato Agriculture: Harnessing Machine Learning Techniques for Disease Detection and Management
Aim: The aim of this study is to make a disease-predicting model trained on data from weather stations and API using machine learning that gives the farmer the ability to predict crop diseases before they set in, allowing them to take timely preventative measures and reduce wastage. Materials and Methods: In this study the Internet of Things (IoT) sensors throughout agricultural fields of potato crops in Jafferabad, Depalpur Punjab. The sensors collect real-time data on environmental conditions, such as precipitation, air temperature, relative humidity, wind speed, and direction, Dew Point, VPD, and the Delta T values, to identify subtle disease indicators and patterns within the environmental data. Our novel machine-learning program makes use of the data collected by the weather station and analyses them. Results: Using the data, one predictive statistical method using Python 3.8.0 was created which uses the data from the weather station which can predict diseases before they set in.
Nanoparticles and Aqueous Amine-Based Formulation to Develop CO2 Foam for Sequestration and Oil Recovery
Carbon dioxide (CO2) is an important greenhouse gas that helps trap heat in our atmosphere; without it, our planet would be inhospitably cold [1]. It is the fourth most abundant gas in the Earth's atmosphere. It is a byproduct of normal cell function when breathed out of the body, and produced when fossil fuels and organic wood compounds are burned [2]. However, an increase in CO2 concentration in the atmosphere can contribute to climate change and ocean acidification, and exposure to high levels of CO2 can produce a variety of health effects [3]. Human progress and economic innovation have led to increased emissions, causing climate change and affecting all living creatures. Current levels are 36.8 Gt CO2 in 2023 and are expected to reach 54-56 Gt CO2 by 2030 [4]. Figure 1 displays the current atmospheric CO2 measurements at Mauna Loa Observatory without seasonal variations [5].
Anti-forma Chitogel
Formaldehyde is an air-borne, carcinogenic indoor pollutant. It may cause adverse effects on human health such as irritation of eyes and respiratory system. Shells of hermetia illucens, Black Soldier Flies (BSF) are leftovers when the insects mature from pupae to adults. BSF shells are rich in chitin which can be converted into chitosan by demineralisation and deacetylation. Chitosan and its ammonium salt (chitogel) can remove formaldehyde via condensation of water. In this investigation, the efficiency of removal of formaldehyde by different substrates were compared including shells of BSF before and after demineralization, deacetylation and action of vinegar; and common commercial products and Anti-Forma Chitogels made from shells of BSF and some crustaceans. Anti-Forma Chitogel of BSF was found to be effective in removing (91.2%) formaldehyde (1:20 by mass) among shells of BSF with different treatments and its efficiency was better than all commercial products tested. Concentration of formaldehyde in the container with deacetylated Anti-Forma Chitogel is 0.54 mg/m3. It removed 74.8% of formaldehyde compared to the control (2.14 mg/m3). Concentration of formaldehyde in the container with Anti-Forma Chitogel without deacetylation is 0.76 mg/m3 . It removed 64.5% of formaldehyde compared to the control (2.14 mg/m3). The Anti-forma Chitogel of BSF was found to be eco-friendly with high formaldehyde removal efficiency when placed in a drawer (removal of 54.8% of in 24 hours), the chamber of a newly renovated room (removal of 84.9% in 30 minutes reducing the conc. of formaldehyde from 0.53 mg/m3 to 0.08 mg/m3; cf. the safety limit of formaldehyde <0.125mg/m3) and drawers of a new wardrobe (removal of 83.7% at 20.2oC in 1 day reducing the conc. of formaldehyde from 0.49 mg/m3 to 0.08 mg/m3 & kept the conc. of drawers below 0.125mg/m3 most of the time over a month when temperature was below 21oC). Conc. of formaldehyde in air-tight boxes (5g of construction adhesive in 9.3 dm3) with air purifiers with and without Anti-forma Chitogel as filter before and after 3 hours was reduced by 44.5% (from 6.25mg/m3 to 3.47mg/m3 ) and 27.7% respectively showing that Anti-forma Chitogel as filter in air purifier outperformed that without by 160%. Besides, anti-forma Chitogel is antibacterial, so it would also kill bacteria when used in air purifiers. [1] proving that Anti-forma Chitogel is effective in removal of formaldehyde on the spot and can be applied to households. It can also help achieve Target 3.9 and 12.5 of the Sustainable Development Goals of the United Nations.
ReCiPla - Cyclic Soil Microplastic Remover
GROSSMANN, João Miguel Sastre. ReCiPla - Cyclic Soil Microplastic Remover: A way to remove microplastics from soil using electrostatics. 2023. 28 p. Research report – Scientific Apprentice Program, Colégio Dante Alighieri, São Paulo, 2023. Microplastics are the largest form of physical pollution on the planet. Affecting everything from terrestrial and aquatic environments to the air, compounds up to 1 micrometer in size are present inside the human body and can intoxicate the main organs in which they are found, such as the lungs, spleen, liver, and heart. Therefore, methods of removing these compounds from nature are essential, which is why this research is based on electrostatically removing MP from the soil. To this end, a vibrating conveyor belt was designed that would act in conjunction with a plate electrified by a Van de Graaff generator to separate the plastic compound using electric field induction. After characterization tests to quantify the voltage produced by the generator, which produced an average of 95 kV, the vibrating belt was made and will be used later in conjunction with the electrostatic method. This methodology suggests that it’s a success even after the electrified plate was applied to its structure. It carried out the proposed processes, such as moving the test masses, vibrating them, and fully supporting the electrified plate. In addition, the electrostatic removal method was tested to verify its efficiency and applicability. It was found that the removal of microplastics ranged it from 10 to 20% efficiency, suggesting it to be an effective method for separating microplastics. It should be noted that these statistics will be improved as the research progresses. In this way, the research proved capable of establishing an electrostatic removal method, as well as a process for transporting the material to be removed, thus achieving the objectives it set out to achieve. Finally, it should be noted that this research is still under development, with a view to applying the process in conjunction with the conveyor belt to carry out sample tests, as well as improving the removal process in the future to make it more efficient.