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In this review manuscript, I realized the author’s high expertise, the effort to summarize, analyze, present and explain the data about the AI in agriculture in a very scientific and at the same time understandable way. Specifically, the title is clear, the abstract gives the general overview of the manuscript and the language is properly used. The reader is introduced to the topic smoothly with all the essential information, the materials and methods section is well written, as well as the results and discussion. Overall, this manuscript provides a profound understanding of the innovations, applications and future prospects of AI in the agricultural sector. I believe that it significantly contributes to the literature and paves the way for further research, therefore it deserves to be published and for that reason I propose the following comments, to help improve its content.

1.       There is a repetition in PomeNetV1 and PomeNetV2.

2.       In Figure 2, correct the text after the image acquisition.

3.       Please provide the full name of CAGR.

4.       In Figure 3, please correct “rainfall forecasts”, “Sentinel-2”, “Deep Neural Networks”, “nutrient deficiencies” and R²=0.85.

5.       In Figure 4, there are many similar cases like in Figure 3.

6.       Likewise in Figure 5.

7.       Regarding the barriers, I would also like to add the high computational resources, the lack of technical support and the unreliable internet access in many rural areas.

8.       In regards to the future research, making AI more accessible to farmers, could probably be added.

9.       In Figure 6, there is a 2025 in the end of the x-axis.

Competing interests

The author declares that they have no competing interests.