Answer:
A.)Young male cones produce spores using meiosis.
Explanation:
there ya go
The sum total of the interactions of the variety of organisms in the biosphere is called biodiversity.
The term "biodiversity" describes the wide range of organisms that are alive today, including flora, fauna, bacteria, and fungi.
The vast variety of life on Earth is referred to as biodiversity. It can be applied more precisely to all the species found in a given area or ecosystem. Every living creature, which include plants, microbes, animals, and people, is referred to as biodiversity. Around 8.7 million species of plants and animals are thought to exist, according to scientists. However, to date, only about 1.2 million species, the majority of which are insects, have been recognised and described. This means that the identities of millions of other organisms are still unknown.
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Genetically modified can be stated as the foods which are derived from whose genetic material (DNA) has been modified in a way that does not occur naturally
<u>Explanation:</u>
<u>pros:</u>
- It takes less land for cultivation and it produces more food
- It can conserve energy soil and water resources
- It can save plants from extinction
- It will use less water
- less use of pesticides
<u>cons:</u>
- Increased rate of allergic reaction
- It can spoil or pollute the others fields and stuffs
- It creates super weeds ans super bugs
- Less nutritious
- chance for genetic changes
Answer:
A series of connections of food chains in an ecosystem is called a "food web"
Explanation:
The bigger version food chains is the food web. Which means that, many food chains combinedly forms the food web. In the food web we can visualize the connection of plants and animals together in different ways. We cannot say it is done deliberately but a natural interconnection of food chains. It is a consumer resource system. Mainly the organic matters are taken by the heterotrophs like sugar which gives energy.
Information about mosquito activity is in demand these days because more people are engaging in outdoor activities in metropolitan settings. Predicting mosquito activity is also essential for regulating human safety and health. High spatial and temporal variability, however, make it difficult to accurately predict mosquito abundances, which reduces the accuracy of general mechanistic models of mosquito abundances. It is required to create a more straightforward and lightweight mosquito abundance forecast model as a result. In this study, we evaluated the effectiveness of the artificial neural network (ANN), a well-liked empirical model, for predicting mosquito abundance.
The outcomes demonstrated that the ANN model and the MLR model's performances were nearly identical in terms of R and root mean square error (RMSE). In contrast to MLR, the ANN model was able to forecast the high variability. The ANN model's sensitivity analysis revealed that it adequately explained the relationships between the input variables and mosquito abundances. In conclusion, ANNs have the capacity to forecast changes in mosquito populations (especially the extreme values), and they can do so better than conventional statistical methods.
<h3>What is a
rtificial neural network?</h3>
Computing systems inspired by the biological neural networks that make up animal brains are known as artificial neural networks (ANNs), also known as neural networks (NNs), or even more simply, neural nets.
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