Integrating Modern and Intelligent Approaches with Efficiency for Soil Nutrient Deficiency Detection | Chapter 10 | Agricultural Sciences: Techniques and Innovations Vol. 1

The essentiality of soil health to the vitality of our planet cannot be overstated. This complex ecosystem teems with microscopic organisms and vital nutrients that foster the growth of plants, feeding into the cycle of life that sustains us all. The application of intelligent technologies, particularly artificial intelligence (AI) and machine learning (ML), in detecting soil nutrient deficiencies is revolutionising modern agriculture. While traditional soil nutrient analysis methods are effective, they are often costly, time-consuming, and lack real-time insights. Emerging intelligent approaches overcome these limitations by providing rapid, accurate assessments, enabling precise and timely fertilisation. Case studies, such as those of Indian startups CropIn and Fasal, illustrate the successful implementation of AI-driven solutions, leading to improved crop yields, optimised fertiliser use, and enhanced sustainability. This article explores current advancements, ongoing research, and future prospects, emphasising AI’s role not only in detection but also in predictive nutrient management. Additionally, it outlines a roadmap for farmers and stakeholders, guiding them in adopting these technologies by understanding their potential, selecting appropriate tools, and fostering a culture of innovation. Overall, integrating intelligent approaches into soil nutrient management paves the way for a more efficient, sustainable, and economically viable agricultural future. For successful adoption, farmers and stakeholders must embrace change, leverage available resources, and seek continuous learning and collaboration.

 

Author (s) Details

Pranav Raj
Banaras Hindu University, India.

 

 Please see the book here:- https://doi.org/10.9734/bpi/asti/v1/4722

Design of an Autonomous Seed Sowing Robot | Chapter 7 | Theory and Applications of Engineering Research Vol. 9

 This study introduces an autonomous seed sowing robot designed to support agricultural activities, named Agribot. Automation of agricultural processes provides benefits in the form of increased efficiency, productivity, healthy crops, efficient use of resources & materials, and labour cost savings. The design of Agribot consists of digging part, seed filling part, seed filling into the hole, sensor-based irrigation control and driving part. Several similar robots are already available in the market, but they function separately. Agribot works in an integrated manner from dividing the land into squares with intersection points for sowing seeds, making holes, adjusting the distance between holes according to government standards, and ensuring that only one seed is released per hole with a back plate mechanism filling the hole after sowing is complete. There is also a sensor part that automatically detects obstacles and changes the path. In terms of effectiveness, a case study has illustrated the effectiveness of using this robot, making it a good fit for agriculture. Agribot provides a better solution for tilling agricultural land that has a low production rate.

Author(s) Details:

Sweety Dutta,
Motilal Nehru National Institute of Technology, Allahabad, India.

Please see the link here: https://stm.bookpi.org/TAER-V9/article/view/13912

Sensor Based Nutrient Recommender System for Solanum lycopersicum | Chapter 3 | Advances and Challenges in Science and Technology Vol. 3

The aim of this study search out spread information about how to use sensor dossier to establish a accuracy-based recommender system for food management. Agriculture surrounds crop and livestock result, aquaculture, fisheries and forestry for foodstuff and non-food fruit. Agriculture was the key development in the rise of sedentary human culture, whereby ranching of domesticated variety created food surpluses that allowed people to person who waits on another cities.  The restoration of the vitamin is essential, in this view skilled is need to adopt accuracy agriculture system that change crop related plans and requirements, whereas nutrient administration is a major rule that is wanted to be spotlight in the field of production techniques. The exploratory study of this research work is conducted utilizing a terrace flowers. The nutrient administration with respect to the horticulture crop attractive woman is considered as the main crop. The samples are detached into two groups, A and B, which represent samples accompanying and without the use of instinctive fertilizers and manures, respectively. The results of the study of the growth parameters are proved. This paper describes the dossier collecting process utilizing sensors and an Arduino equipment. During the period of tumor, the effects of pests and some remedies used are recorded. For the purpose of creating plans for nutrient management wholes, the expert advice supported in the soil test results is taken into account.

Author(s) Details:

G. Yogeswari,
Department of Computer Science, Alagappa University, Karaikudi, India.

A. Padmapriya,
Department of Computer Science, Alagappa University, Karaikudi, India.

Please see the link here: https://stm.bookpi.org/ACST-V3/article/view/12015