The spiny bollworm (SBW), Earias insulana (Boisd.), is from the most destructive cotton pests in Egypt. Larvae can reduce the yield about 40%. Monitoring and forecasting have become an integral aspect of the crop production system in developed countries to control pests. Recently, remote sensing has gained popularity in agriculture for pest monitoring, yield forecasting and early warning to crop growers for proper time in pest management with the least quantity of ground sampling possible.This work aims to measure the validity of using a new methodology for pest detection in cotton bolls without exposing the plant to any danger., This action could be conducted by making a spectroscopy check using spectroradiometer for every boll in field and compare this reading automatically with the spectral library that was built in earlier by measuring numbers of well-known bolls (healthy and infected measuring of some Vegetation Indices (MCARI, TCARI, NPCI, NDVI, NDWI, WBI) also done from reflectance values that carried out, in order to detect the best indices affected by pest infection. Thermal imaging also was done to differentiate between diseased and non-infected tissue. The results described the reflectance spectra of cotton bolls with known SBW infestations and healthy ones and could identify the certain narrow band that is sensitive to SBW damage, BLUE band has found to be the best for spectrally identifying infested bolls. Normalized Pigment Chlorophyll Index (NPCI) is the best index among vegetation indices used in this research. Complementally, to use remote sensing applications, thermal imaging was used to detect thermal patterns associated with insect infestation. The result of study indicate the validity of using spectral measurement and thermal imaging as a tools of remote sensing in detection of the presence of spiny boll worm without wasting and ruined the bolls in field, this method could be also effective in detection of other pests on other crops.

Photosensitizing compounds are eco-friendly promising organic dyes for managing insect pests without facing the risk of resistance. The photodynamic efficacy of four Photosensitizing compounds (rose Bengal, rhodamine B, methylene blue and methyl violet) was monitored against the third larval instar of Spodoptera littoralis (Boisduval), after exposure to sunlight. The LC₅₀ values of the four compounds; rose Bengal, rhodamine B, methylene blue and methyl violet recorded 0.029 × 10^–5, 0.24 × 10^–5, 14.69 × 10^–5 and 15.59 × 10^–5 M, respectively. Therefore, rose Bengal was the most effective compound followed by rhodamine B, Methylene blue and methyl violet. Compared to similar previously documented photosensitizer compounds, these four tested compounds recorded higher mortality percentage. The effect of those compounds on the larval biochemical components was assessed by measuring larval spectral and thermal reflectance. Larvae fed on photosensitizing compounds showed distinct spectral reflectance patterns. Treated larvae had same reflectance manner; which were higher than that of control samples. Along the whole spectrum, the highest reflectance was after 60 min of exposure to sunlight in case of rose Bengal, rhodamine B and methylene blue. Methyl violet reflected sunlight mostly at zero time then the reflectance decreased after 30 min then increased again after 60 min. There was a noticeable absorption of IR wavelengths at ~ 1900, 1400, 1200 and 950 nm in all treated samples. Thermal imaging indicated abnormal larval warmth after treatment. Differences in reflectance were monitored immediately after feeding, confirming the speed and mode of action of those compounds.