Accurate crop prediction is essential for optimizing farming practices and ensuring a stable food supply. Machine learning algorithms effectively predict crop yields by utilizing historical weather ...

Harmful alleles can be under balancing selection due to an interplay of artificial selection for the variant in ... by two variants that are closely linked on the same haplotype. For example, two ...

So, they began testing it the only way they could — by breeding plants and animals, watching what happened, and doing it again. This ancient curiosity gave rise to a powerful tool: artificial ...

Agricultural universities should prepare models for the use of Artificial Intelligence to increase crop production: CM Fadnavis Parbhani, May 29 (UNI) Maharashtra State Chief Minister Devendra ...

Of the topcross hybrids that had higher indexes of stability, HS222, HS232, and HS233 stood out, showing their greater potential for selection ... wheat (Triticum aestivum L.). Journal of Plant ...

Therefore, the study aimed at evaluating the soil microbial and enzymatic activities in the short term, in integrated crop-livestock systems, with an increase in plant diversity during the grazing ...

Davenport, Abhijit Guha and Dhruv Grewal Of all a company’s functions, marketing has perhaps the most to gain from artificial intelligence. Marketing’s core activities are understanding ...

Developing climate-resilient crop plants is therefore critical for ensuring future food security. This research topic focuses on understanding and enhancing the natural ability of plants to withstand ...

But Bose has big plans, including a team specialising in AI and machine learning to position Azeedo not just as a crop product company but as a plant clinic solution. “We want to develop a ...

Plant studies have been carried out to identify the nature and extent of the formation of adducts with DNA bases when treated with pesticide formulations. DNA extracted from crop plants after ...