TY - CHAP
T1 - Sustainable AI-Driven Applications for Plant Care and Treatment
AU - Naveed, Muhammad
AU - Zahid, Nafeesa
AU - Fatima, Ibtihaj
AU - Saleem, Ayesha
AU - Majeed, Muhammad
AU - Abid, Amina
AU - Javed, Khushbakht
AU - Wazir, Rehmana
AU - Qasim, Amina
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Technology has emerged as a formidable ally in the endeavor, with artificial intelligence (AI) leading the charge in revolutionizing farming practices via the notion of precision agriculture. Since the dawn of the civilization, there has always been a basic human need in the field of agriculture as plants were a primary source of food. The plant disease poses a serious threat to food security because it legitimately affects harvest yield, which reduces the growth of a crop yield and leads to significant loss and consequent financial losses. As a result, there is a demand for quick and effective plant disease detection and evaluation strategies. AI intervention in agriculture is assisting farmers in regaining their farming efficiency and reducing adverse environmental influences. By substituting traditional methods with more effective ones, it is bringing about a revolution in agriculture. Plant disease is one of the most important and critical challenges that affects the agriculture and its trading system. Plant diseases can adversely affect the growth of plants and, in severe cases, might lead to the plant death. AI-driven technologies have the capability not only to detect the disease but also to assess its toxicity and precisely classify the specific type of disease detected in a given plant sample. It investigates AI’s revolutionary role in improving farming practices through precision agriculture. Precision agriculture is based on data-driven decision-making. The importance of AI extends beyond data collection to data processing and interpretation. AI algorithms analyze the acquired data to uncover patterns, correlations, and anomalies that the human eye may not see.
AB - Technology has emerged as a formidable ally in the endeavor, with artificial intelligence (AI) leading the charge in revolutionizing farming practices via the notion of precision agriculture. Since the dawn of the civilization, there has always been a basic human need in the field of agriculture as plants were a primary source of food. The plant disease poses a serious threat to food security because it legitimately affects harvest yield, which reduces the growth of a crop yield and leads to significant loss and consequent financial losses. As a result, there is a demand for quick and effective plant disease detection and evaluation strategies. AI intervention in agriculture is assisting farmers in regaining their farming efficiency and reducing adverse environmental influences. By substituting traditional methods with more effective ones, it is bringing about a revolution in agriculture. Plant disease is one of the most important and critical challenges that affects the agriculture and its trading system. Plant diseases can adversely affect the growth of plants and, in severe cases, might lead to the plant death. AI-driven technologies have the capability not only to detect the disease but also to assess its toxicity and precisely classify the specific type of disease detected in a given plant sample. It investigates AI’s revolutionary role in improving farming practices through precision agriculture. Precision agriculture is based on data-driven decision-making. The importance of AI extends beyond data collection to data processing and interpretation. AI algorithms analyze the acquired data to uncover patterns, correlations, and anomalies that the human eye may not see.
KW - Artificial intelligence
KW - Environmental influences
KW - Plant diseases
UR - http://www.scopus.com/inward/record.url?scp=85195114523&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-9621-6_16
DO - 10.1007/978-981-99-9621-6_16
M3 - Chapter
AN - SCOPUS:85195114523
T3 - Microorganisms for Sustainability
SP - 235
EP - 258
BT - Microorganisms for Sustainability
PB - Springer
ER -